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Scalable Human Oversight for Aligned Large Language Models: A Hybrid Framework for Intent Fidelity
Folasade Y. Ayankoya, Shade O. Kuyoro, Olubukola D. Adekola, Oluwasefunmi B. Famodimu
Models: RoBERTa-large
Intelligence
Status: succeeded | Model: google/gemini-3.1-flash-lite-preview | Prompt: intel-v1 | Confidence: 95%
Last extracted: 3/11/2026, 1:14:33 AM
Summary
This document provides a bibliographic list of 44 research articles published in the journal 'IngĂ©nierie des SystĂšmes dâInformation' (Vol. 29, Nos. 3-4, 2024). The articles cover a wide range of topics in computer science and engineering, including machine learning, deep learning, intrusion detection, medical image analysis, IoT, and information systems.
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confidence 100% · The document lists 44 articles published in this journal.
Machine Learning â appliedin â Non-commercial ports
confidence 90% · The identification of typologies and levels utilization of non-commercial ports in Indonesia using the machine learning method
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Abstract
Proposes a scalable hybrid oversight (SHO) framework combining selective human feedback, proxy reward modeling, and behavioral auditing, achieving an Intent Fidelity Score of 89.3 vs 82.6 for RLHF.
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- Source: https://doi.org/10.18280/isi.300807
- Canonical: https://doi.org/10.18280/isi.300807
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No.Co-authors Article title KeywordsVol., No., p.DOICitation 1Berbiche, N., El Alami, J. For Robust DDoS Attack Detection by IDS: Smart Feature Selection and Data Imbalance Management Strategies anomaly based intrusion detection systems, features selection, correlation matrix, mutual information, oversampling techniques, SMOTE, BorderlineSMOTE, ADASYN 29, 4, 1227-1259 https://doi.org/10.18280/isi.290401 Berbiche, N., El Alami, J. (2024). For robust DDoS attack detection by IDS: Smart feature selection and data imbalance management strategies. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1227-1259. https://doi.org/10.18280/isi.290401 2 Hadji, A., Kholladi, M.K., Borisova, N. Enhancing Spatial Information Extraction from Arabic Text: A Hybrid Approach with Ontology and Rule- Based automatic information extraction, spatial ontology, jape rules, spatial information, Arabic NLP 29, 4, 1261-1273https://doi.org/10.18280/isi.290402 Hadji, A., Kholladi, M.K., Borisova, N. (2024). Enhancing spatial information extraction from Arabic text: A hybrid approach with ontology and rule-based. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 4, p. 1261-1273. https://doi.org/10.18280/isi.290402 3 Puspitasari, D., Aprian, A.J., Sikumbang, E.D., Ramanda, K., Sukmana, S.H., Azizah, Q.N. Heart Disease: Application of the K- Nearest Neighbor (KNN) Method clustering, heart disease, blood sugar, K- Nearest Neighbor 29, 4, 1275-1281https://doi.org/10.18280/isi.290403 Puspitasari, D., Aprian, A.J., Sikumbang, E.D., Ramanda, K., Sukmana, S.H., Azizah, Q.N. (2024). Heart disease: Application of the K-Nearest Neighbor (KNN) method. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1275- 1281. https://doi.org/10.18280/isi.290403 4 Maulana, A., Subyantoro, S., Yuniawan, T., Pristiwati, R. Development of Electronic Media Assisted Language Learning Modules with Cultural Literacy electronic module, kvisoft flipbook maker, hikayat, cultural literacy 29, 4, 1283-1295https://doi.org/10.18280/isi.290404 Maulana, A., Subyantoro, S., Yuniawan, T., Pristiwati, R. (2004). Development of electronic media assisted language learning modules with cultural literacy. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 4, p. 1283-1295. https://doi.org/10.18280/isi.290404 5 Guellil, Z., Mahammed, N., Keskes, N. Distributed K-means Clustering Using Topological Relationships data mining, clustering, distributed k- means algorithm, number of groups, topological relations 29, 4, 1297-1304 https://doi.org/10.18280/isi.290405 Guellil, Z., Mahammed, N., Keskes, N. (2024). Distributed k- means clustering using topological relationships. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1297-1304. https://doi.org/10.18280/isi.290405 6 Mohammed, L.A.K., Hasan, A.M., Hamza, E.K. Pruning and Validation Techniques Enhanced Genetic Algorithm for Energy Efficiency in Wireless Sensor Networks internet of things, wireless sensor networks, genetic algorithm variable chromosome length energy consumption 29, 4, 1305-1314https://doi.org/10.18280/isi.290406 Mohammed, L.A.K., Hasan, A.M., Hamza, E.K. (2024). Pruning and validation techniques enhanced genetic algorithm for energy efficiency in wireless sensor networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1305-1314. https://doi.org/10.18280/isi.290406 7 Rather, K.U.I., Tarray, T.A., Adesina, O.S., Adedotun, A.F., Akingbade, T.J., Odekina, O.G. An Efficient Poisson-Distributed Adaptive Cluster Sampling Model Using Randomized Response Strategy randomized response technique, cluster sampling, dichotomous population, sensitive attribute, estimation of proportion, poisson distribution 29, 4, 1315-1321https://doi.org/10.18280/isi.290407 Rather, K.U.I., Tarray, T.A., Adesina, O.S., Adedotun, A.F., Akingbade, T.J., Odekina, O.G. (2024). An efficient poisson- distributed adaptive cluster sampling model using randomized response strategy. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1315-1321. https://doi.org/10.18280/isi.290407 8 Subhiyakto, E.R., Rakasiwi, S., Zeniarja, J., Paramita, C., Shidik, G.F., Hasibuan, Z.A., KesiÄ, M.G. Evaluation of Resampling Techniques in CNN-Based Heartbeat Classification electrocardiogram (ECG), classification, PTB dataset, CNN, transformer, LSTM, SMOTE 29, 4, 1323-1332 https://doi.org/10.18280/isi.290408 Subhiyakto, E.R., Rakasiwi, S., Zeniarja, J., Paramita, C., Shidik, G.F., Hasibuan, Z.A., KesiÄ, M.G. (2024). Evaluation of resampling techniques in CNN-based heartbeat classification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1323-1332. https://doi.org/10.18280/isi.290408 9 Tripathi, A., Choudhury, T., Sharma, H.K. EEG Based Emotion Detection by Using Modified Tunicate Swarm Optimization Algorithm emotion recognition, empirical mode decomposition, long short-term memory network, rat swarm optimization algorithm, variational mode decomposition 29, 4, 1333-1342 https://doi.org/10.18280/isi.290409 Tripathi, A., Choudhury, T., Sharma, H.K. (2024). EEG based emotion detection by using modified tunicate swarm optimization algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1333-1342. https://doi.org/10.18280/isi.290409 10 Mustar, M.Y., Hartanto, R., Santosa, P.I. Exploring Attentive User Interface Input via Raspberry Pi, Based on Face Landmark Detection, Eye Open-Closed Detection and Head Movements Detection AUI, Raspberry Pi, face landmark detection, eye open-closed detection, head movements detection 29, 4, 1343-1355https://doi.org/10.18280/isi.290410 Mustar, M.Y., Hartanto, R., Santosa, P.I. (2024). Exploring attentive user interface input via Raspberry Pi, based on face landmark detection, eye open-closed detection and head movements detection. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1343-1355. https://doi.org/10.18280/isi.290410 11 Omar, H.K., Frikha, M., Jumaa, A.K. PyTorch and TensorFlow Performance Evaluation in Big Data Recommendation System big data, deep learning, NLP, PyTorch, recommendation system, TensorFlow, text mining 29, 4, 1357-1364https://doi.org/10.18280/isi.290411 Omar, H.K., Frikha, M., Jumaa, A.K. (2024). PyTorch and TensorFlow performance evaluation in big data recommendation system. IngĂ©nierie des SystĂšmes dâ Information, IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1357-1364. https://doi.org/10.18280/isi.290411 12 Setiadi, H., Sanjaya, K., Wijayanto, A., Wardhani, D.W., Cahyono, H.D. Comparative Analysis of Classification Algorithms Using Feature Selection Techniques to Predict On-Time Student Graduation educational data mining, classification, feature selection, on-time graduation prediction 29, 4, 1365-1379https://doi.org/10.18280/isi.290412 Setiadi, H., Sanjaya, K., Wijayanto, A., Wardhani, D.W., Cahyono, H.D. (2024). Comparative analysis of classification algorithms using feature selection techniques to predict on-time student graduation. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1365-1379. https://doi.org/10.18280/isi.290412 13 Hardianto, A., Marimin, Adrianto, L., Fahmi, I. The Identification of Typologies and Levels Utilization of Non-Commercial Ports in Indonesia Using the Machine Learning Method machine learning, non-commercial port, typology, utilization 29, 4, 1381-1395https://doi.org/10.18280/isi.290413 Hardianto, A., Marimin, Adrianto, L., Fahmi, I. (2024). The identification of typologies and levels utilization of non- commercial ports in Indonesia using the machine learning method. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1381-1395. https://doi.org/10.18280/isi.290413 14 Sihabuddin, A., Rokhman, N., Wahyudi, E.E. A Machine Learning Approach on Outlier Removal for Decision Tree Regression Method outlier removal, Isolation Forest, decision tree regression, supervised learning, machine learning 29, 4, 1397-1403https://doi.org/10.18280/isi.290414 Sihabuddin, A., Rokhman, N., Wahyudi, E.E. (2024). A machine learning approach on outlier removal for decision tree regression method. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1397-1403. https://doi.org/10.18280/isi.290414 15Bindal, M., Kamat, V. Diverse Bases for Functional Spaces for Non-Rigid Shape Correspondence non-rigid deformations, functional maps, basis functions, point-to-point correspondences 29, 4, 1405-1422https://doi.org/10.18280/isi.290415 Bindal, M., Kamat, V. (2024). Diverse bases for functional spaces for non-rigid shape correspondence. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 29, No. 4, p. 1405-1422. https://doi.org/10.18280/isi.290415 16Saeed, Z., Abbas, A.S. Evaluating Software Quality Metrics for Enhanced Software Management and Engineering software quality metrics, standard metrics, quality metrics 29, 4, 1423-1440https://doi.org/10.18280/isi.290416 Saeed, Z., Abbas, A.S. (2024). Evaluating software quality metrics for enhanced software management and engineering. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1423-1440. https://doi.org/10.18280/isi.290416 17 Maitanmi, O.S., Ogunyolu, O.A., Kuyoro, A.O. Evaluation of Financial Credit Risk Management Models Based on Gradient Descent and Meta-Heuristic Algorithms credit risk, deep learning, feature selection, gradient descent, multilayer perceptron, loan prediction, random forest 29, 4, 1441-1452https://doi.org/10.18280/isi.290417 Maitanmi, O.S., Ogunyolu, O.A., Kuyoro, A.O. (2024). Evaluation of financial credit risk management models based on gradient descent and meta-heuristic algorithms. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1441-1452. https://doi.org/10.18280/isi.290417 18 Setiadi, D., Sumitra, T., Karim, A., Ritzkal. Software Quality Measurement Analysis on Academic Information Systems software measurement, software quality, software metrics, software indicators, academic information system, quality management 29, 4, 1453-1460https://doi.org/10.18280/isi.290418 Setiadi, D., Sumitra, T., Karim, A., Ritzkal. (2024). Software quality measurement analysis on academic information systems. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1453-1460. https://doi.org/10.18280/isi.290418 19 Meqdad, M.N., Al-Qudsy, Z.N., Kadry, S., Haleem, A.S. Using Neural Networks to Forecast the Configuration of Proteins protein configuration, detection of the second type of protein, neural networks, pattern recognition 29, 4, 1461-1468 https://doi.org/10.18280/isi.290419 Meqdad, M.N., Al-Qudsy, Z.N., Kadry, S., Haleem, A.S. (2024). Using neural networks to forecast the configuration of proteins. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1461-1468. https://doi.org/10.18280/isi.290419 20 Iskandar, A., Retnawati, H., Haryanto, Sahariani. Design of a Web-Based Information System for New Student Registration in Vocational High Schools information system design, new student admissions, academic information systems 29, 4, 1469-1481https://doi.org/10.18280/isi.290420 Iskandar, A., Retnawati, H., Haryanto, Sahariani. (2024). Design of a web-based information system for new student registration in vocational high schools. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1469-1481. https://doi.org/10.18280/isi.290420 21 Kusnandar, T., Santoso, J., Surendro, K. Enhancing Color Selection in HSV Color Space color constancy, color selection, heavy sidestep function, HSV color space 29, 4, 1483-1491 https://doi.org/10.18280/isi.290421 Kusnandar, T., Santoso, J., Surendro, K. (2024). Enhancing color selection in HSV color space. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 4, p. 1483-1491. https://doi.org/10.18280/isi.290421 22Ghindawi, E.W. Advanced Computer Vision Alignment Technique Using Preprocessing Filters and Deep Learning CNN, image alignment, supervised learning, deep learning (DL), image denoising 29, 4, 1493-1499 https://doi.org/10.18280/isi.290422 Ghindawi, E.W. (2024). Advanced computer vision alignment technique using preprocessing filters and deep learning. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1493- 1499. https://doi.org/10.18280/isi.290422 23 Mohammad, M.T., Alhafidh, B.M.H., Hagem, R.M. Low-Cost Smart Insulin Box: A Portable and Interactive System for Enhanced Diabetes Management diabetes management, embedded system, healthcare monitoring, IoT, low-cost insulin system, reminder, real time system, smart insulin box, wireless communication 29, 4, 1501-1508https://doi.org/10.18280/isi.290423 Mohammad, M.T., Alhafidh, B.M.H., Hagem, R.M. (2024). Low-cost smart insulin box: A portable and interactive system for enhanced diabetes management. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 4, p. 1501-1508. https://doi.org/10.18280/isi.290423 24 Baaziz, M.L., Aliouat, Z., Aliouat, M. Efficient Energy-Aware Clustering Approach Area Splitting-Based for Wireless Sensor Networks WSN, energy conservation leach, Mod- leach, vleach 29, 4, 1509-1518 https://doi.org/10.18280/isi.290424 Baaziz, M.L., Aliouat, Z., Aliouat, M. (2024). Efficient energy- aware clustering approach area splitting-based for wireless sensor networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1509-1518. https://doi.org/10.18280/isi.290424 25 Abdullahi, M.O., Mohamud, I.H., Mohamud, F.A.S., Ali, A.F. Analyzing Bibliometric Trends in the Social Internet of Things: A Review and Future Perspectives internet of things, social internet of things, bibliometric analysis, research trends 29, 4, 1519-1527https://doi.org/10.18280/isi.290425 Abdullahi, M.O., Mohamud, I.H., Mohamud, F.A.S., Ali, A.F. (2024). Analyzing bibliometric trends in the social internet of things: A review and future perspectives. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 4, p. 1519-1527. https://doi.org/10.18280/isi.290425 26Hasan, S.N. Accurate Deep Learning Algorithms for Skin Lesion Classification skin lesion, dermoscopy images, deep learning, convolutional neural network, transfer learning, DenseNet201, ResNet52V2, HAM10000 dataset 29, 4, 1529-1539https://doi.org/10.18280/isi.290426 Hasan, S.N. (2024). Accurate deep learning algorithms for skin lesion classification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1529-1539. https://doi.org/10.18280/isi.290426 27 Swathi Mirthika, G.L., Sivakumar, B. Bridging Data Complexity with GATNet for Learning in Interconnected Electronic Medical Records Graphs electronic medical record, graph database, heterogeneous graph, knowledge graph, link prediction 29, 4, 1541-1548https://doi.org/10.18280/isi.290427 Swathi Mirthika, G.L., Sivakumar, B. (2024). Bridging data complexity with GATNet for learning in interconnected electronic medical records graphs. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 4, p. 1541-1548. https://doi.org/10.18280/isi.290427 28Nagle, M., Kumar, P. M-GWO Algorithm to Predict Risk of Silent Heart Attack of Diabetes Patients - Cardidiabetes Model cardiodibet framework, grey wolf optimization, GEETN, diabetes, cardiac arrest, stack model, continued-value based attributes, cholesterol 29, 4, 1549-1559https://doi.org/10.18280/isi.290428 Nagle, M., Kumar, P. (2024). M-GWO algorithm to predict risk of silent heart attack of diabetes patients - Cardidiabetes model. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1549-1559. https://doi.org/10.18280/isi.290428 29 Prakosa, B.A., Afrianto, Y., Agustiyan, S., Setiadi, I.H. Evaluating Bandwidth Management Techniques on Mikrotik Routers: A Multiple Linear Regression Approach bandwidth management, Per Connection Queue (PCQ), Random Early Detection (RED), First In First Out (FIFO), prediction, linear regression, Simple Network Management Protocol (SNMP), cacti, Mikrotik 29, 4, 1561-1572https://doi.org/10.18280/isi.290429 Prakosa, B.A., Afrianto, Y., Agustiyan, S., Setiadi, I.H. (2024). Evaluating bandwidth management techniques on Mikrotik routers: A multiple linear regression approach. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1561-1572. https://doi.org/10.18280/isi.290429 30 Hrich, N., Azekri, M., Khaldi, M. Application of LSTM for Redundancy Detection in MCTS: Enhancing Test Precision deep learning, Long Short-Term Memory (LSTM), Natural Language Processing (NLP), Multiple Choice Tests (MCTs), redundancy, items, distractors 29, 4, 1573-1579https://doi.org/10.18280/isi.290430 Hrich, N., Azekri, M., Khaldi, M. (2024). Application of LSTM for redundancy detection in MCTS: Enhancing test precision. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1573-1579. https://doi.org/10.18280/isi.290430 31 Riyadi, S., Abidin, F.A., Damarjati, C. Optimizing Coronary Artery Disease Detection Using a New Triple Concatenated Convolution Neural Network coronary artery disease, transfer learning, Convolution Neural Network (CNN), Concatenation Model, image classification 29, 4, 1581-1589https://doi.org/10.18280/isi.290431 Riyadi, S., Abidin, F.A., Damarjati, C. (2024). Optimizing coronary artery disease detection using a new triple concatenated Convolution Neural Network. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 29, No. 4, p. 1581-1589. https://doi.org/10.18280/isi.290431 32Mokkapati, R., Dasari, V.L. Dynamic Malware Pattern Analysis with Rapid Node Behaviour Analysis Using Self Replication Model for Network Intrusion Detection intrusion detection, dynamic malware analysis, node behaviour, normal patterns, unusual patterns, network security 29, 4, 1591-1601https://doi.org/10.18280/isi.290432 Mokkapati, R., Dasari, V.L. (2024). Dynamic malware pattern analysis with rapid node behaviour analysis using self replication model for network intrusion detection. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1591-1601. https://doi.org/10.18280/isi.290432 33 Aniq, E., Chakraoui, M., Mouhni, N. Innovative: A Novel Deep Learning- Based Semantic Segmentation Architecture for Medical Applications medical applications, deep learning, semantic segmentation, encoder-decoder, atrous convolutions 29, 4, 1603-1609https://doi.org/10.18280/isi.290433 Aniq, E., Chakraoui, M., Mouhni, N. (2024). Innovative: A novel deep learning-based semantic segmentation architecture for medical applications. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 4, p. 1603-1609. https://doi.org/10.18280/isi.290433 34 Alwan, E.H., Al-Qurabat, A.K.M. Candidate Best Optimizations Sequences for Code Size Reduction code size reduction, optimization sequence, LLVM 29, 4, 1611-1617 https://doi.org/10.18280/isi.290434 Alwan, E.H., Al-Qurabat, A.K.M. (2024). Candidate best optimizations sequences for code size reduction. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1611-1617. https://doi.org/10.18280/isi.290434 35 Stephan, J.J., Mohammed, M.Q. Using Hybrid Deep Learning Approach to Enhanced Network Intrusion Detection with Spatial-Temporal Feature Integration Intrusion Detection Systems (IDS), Difficult-Set-Sampling-Technique (DSST), Deep-Convolutional-Generative- Adversarial-Networks (DCGAN), EESNN, Telecommunications Network Internet of Things (ToN-IoT), CICIDS2019, SAT-Net 29, 4, 1619-1628https://doi.org/10.18280/isi.290435 Stephan, J.J., Mohammed, M.Q. (2024). Using hybrid deep learning approach to enhanced network intrusion detection with spatial-temporal feature integration. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 4, p. 1619-1628. https://doi.org/10.18280/isi.290435 36Ige, O.P., Gan, K.H. Enhanced Artificial Bee Colony Algorithm with Pretrained Model Functional Weight and Modified Selection Strategy for Text Classification metaheuristic algorithm, functional weight, selection strategy, pretrained model, text classification 29, 4, 1629-1638 https://doi.org/10.18280/isi.290436 Ige, O.P., Gan, K.H. (2024). Enhanced artificial bee colony algorithm with pretrained model functional weight and modified selection strategy for text classification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1629-1638. https://doi.org/10.18280/isi.290436 37Alfraheed, M. 3D Synthetic View for X-Ray Breast Cancer Mammogram Images x-ray mammography images, digital breast tomosynthesis, synthetization view, supervised learning technique, breast cancer 29, 4, 1639-1652 https://doi.org/10.18280/isi.290437 Alfraheed, M. (2024). 3D synthetic view for x-ray breast cancer mammogram images. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1639-1652. https://doi.org/10.18280/isi.290437 38 Putra, Y.H., Triwibowo, B.A., Delenia, E., Croix, N.J.D.L., Ahmad, T. Sensitivity of a Convolutional Neural Network for Different Pooling Layers in Spatial Domain Steganalysis CNN, information security, national security, pooling layer, spatial domain images, steganalysis 29, 4, 1653-1665https://doi.org/10.18280/isi.290438 Putra, Y.H., Triwibowo, B.A., Delenia, E., Croix, N.J.D.L., Ahmad, T. (2024). Sensitivity of a Convolutional Neural Network for different pooling layers in spatial domain steganalysis. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 4, p. 1653-1665. https://doi.org/10.18280/isi.290438 39 Al-Najjar, A.N., Rasid, M.F.A., Hashim, F., Ahmad, F.A., Jamalipour, A. A Systematic Literature Review in Distributed Resource Allocation for C- V2X distributed resource allocation, long-term evolution-V2X, new radio-V2X, cellular vehicle to everything, machine learning, congestion control 29, 3, 771-808 https://doi.org/10.18280/isi.290301 Al-Najjar, A.N., Rasid, M.F.A., Hashim, F., Ahmad, F.A., Jamalipour, A. (2024). A systematic literature review in distributed resource allocation for C-V2X. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 3, p. 771-808. https://doi.org/10.18280/isi.290301 40 Okokpujie, K., Okokpujie, I.P., Abioye, F.A., Subair, R.E., Vincent, A.A. Facial Anthropometry-Based Masked Face Recognition System masked face recognition, unmasked face recognition, facial Anthropometry, COVID- 19, facemask, facial landmarks, Local Binary Pattern Histogram, biometric, craniofacial plexus, face size, facial index, intercanthal index, orbital width index, nasal index 29, 3, 809-820https://doi.org/10.18280/isi.290302 Okokpujie, K., Okokpujie, I.P., Abioye, F.A., Subair, R.E., Vincent, A.A. (2024). Facial anthropometry-based masked face recognition system. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 809-820. https://doi.org/10.18280/isi.290302 41 Bousmaha, K.Z., Hamadouche, K., Cheurfaoui, N., Hadrich- Belguith, L. Subject Detection of Algerian Posts for Opinion Analysis subject detection, opinion analysis, marketing, multi-class, Algerian dialect, TF-IDF, deep learning, keyword extraction 29, 3, 821-829https://doi.org/10.18280/isi.290303 Bousmaha, K.Z., Hamadouche, K., Cheurfaoui, N., Hadrich- Belguith, L. (2024). Subject detection of Algerian posts for opinion analysis. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 821-829. https://doi.org/10.18280/isi.290303 42Kozhirbayev, Z. Enhancing Neural Machine Translation with Fine-Tuned mBART50 Pre- Trained Model: An Examination with Low-Resource Translation Pairs neural machine translation, pre-trained models, fine-tuning, denoising auto- encoder, low-resource languages, Kazakh- Russian, Russian-Tatar 29, 3, 831-838https://doi.org/10.18280/isi.290304 Kozhirbayev, Z. (2024). Enhancing neural machine translation with fine-tuned mBART50 Pre-Trained model: An examination with low-resource translation pairs. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 3, p. 831-838. https://doi.org/10.18280/isi.290304 43 Durga, P., Deepthi Godavarthi, D. ERS â GARNET: An Ensemble Recommendation System for Sentiment Analysis Using Gated Attention-Based Recurrent Networks Ensemble Recommendation System (ERS), sentiment analysis, DistilBERT, deep learning 29, 3, 839-852https://doi.org/10.18280/isi.290305 Durga, P., Deepthi Godavarthi, D. (2024). ERS â GARNET: An ensemble recommendation system for sentiment analysis using gated attention-based recurrent networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 839-852. https://doi.org/10.18280/isi.290305 44 Hamiane, S., Ghanou, Y., Khalifi, H., Telmem, M. Comparative Analysis of LSTM, ARIMA, and Hybrid Models for Forecasting Future GDP Long Short-Term Memory (LSTM), economic and financial time series data, gross domestique product, GDP, Autoregressive Integrated Moving Average (ARIMA), hybrid models, He initialization 29, 3, 853-861https://doi.org/10.18280/isi.290306 Hamiane, S., Ghanou, Y., Khalifi, H., Telmem, M. (2024). Comparative analysis of LSTM, ARIMA, and hybrid models for forecasting future GDP. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 3, p. 853-861. https://doi.org/10.18280/isi.290306 45 Ibraheem, M.K.I., Dvorkovich, A.V., Al-khafaji, I.M.A. A Comprehensive Literature Review on Image and Video Compression: Trends, Algorithms, and Techniques image compression, video compression, transform coding, predictive coding, entropy coding, machine learning, deep learning 29, 3, 863-876https://doi.org/10.18280/isi.290307 Ibraheem, M.K.I., Dvorkovich, A.V., Al-khafaji, I.M.A. (2024). A comprehensive literature review on image and video compression: Trends, algorithms, and techniques. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 863-876. https://doi.org/10.18280/isi.290307 46 Patrcia, A.C.M., Bernard, S.K., Lagasane, K. Correlation Between Big Data and Cloud in the Transactions Environment big data, cloud computing, security, machine learning (ML), Parameterized Correlation Approach (PCA), transactions environment 29, 3, 877-883https://doi.org/10.18280/isi.290308 Patrcia, A.C.M., Bernard, S.K., Lagasane, K. (2024). Correlation between big data and cloud in the transactions environment. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 877-883. https://doi.org/10.18280/isi.290308 47 Izang, A.A., Ajayi, O.F., Junaid, O., Nwigwe, B., Onyeka, P.O. Design and Evaluation of a Peer-to-Peer Student Lending Platform to Mitigate Information Asymmetry and Credit Risk peer-to-peer lending, student loan, information asymmetry, credit risk, loan performance, P2P framework, software development, educational finance 29, 3, 885-894https://doi.org/10.18280/isi.290309 Izang, A.A., Ajayi, O.F., Junaid, O., Nwigwe, B., Onyeka, P.O. (2024). Design and evaluation of a peer-to-peer student lending platform to mitigate information asymmetry and credit risk. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 885-894. https://doi.org/10.18280/isi.290309 48 Muslih, M., Maulana, M.R., Arianti, N.D. Development of a Web-Based Job and Career Compatibility System Using the Federal Enterprise Architecture Framework Method: A Case Study in Nusa Putra University Federal Enterprise Architecture Framework (FEAF), employment, profession, university, students 29, 3, 895-908https://doi.org/10.18280/isi.290310 Muslih, M., Maulana, M.R., Arianti, N.D. (2024). Development of a web-based job and career compatibility system using the federal enterprise architecture framework method: A case study in Nusa Putra University. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 895-908. https://doi.org/10.18280/isi.290310 49 Kundaikar, T., Fadte, S., Karmali, R., Wagh, R., Pawar, J.D. Modi Document Transcription to Devanagari Modi, Devanagari, Long Short-Term Memory (LSTM), Optical Character Recognition (OCR), transcription, dataset, script 29, 3, 909-915 https://doi.org/10.18280/isi.290311 Kundaikar, T., Fadte, S., Karmali, R., Wagh, R., Pawar, J.D. (2024). Modi document transcription to Devanagari. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 909-915. https://doi.org/10.18280/isi.290311 50 Obeidat, M.A., Abdallah, J., Hamadneh, T., Qawaqneh, H., Mansour, A.M. Enhancing Agricultural Operations Through AI-Driven Agent Communication in Smart Farming Systems Multi-Agent System, Internet of Things (IoT), farming systems, JADE 29, 3, 917-928https://doi.org/10.18280/isi.290312 Obeidat, M.A., Abdallah, J., Hamadneh, T., Qawaqneh, H., Mansour, A.M. (2024). Enhancing agricultural operations through AI-driven agent communication in smart farming systems. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 917-928. https://doi.org/10.18280/isi.290312 51 Safeâi, R., Andrian, R., Sriatna, D.A., Tarigan, F.R. Classification of Density and Transparency of Needle Leaves Types Using AlexNet and VGG16 Architecture AlexNet, CNN, deep learning, needle leaves, forest, VGG16 29, 3, 929-939 https://doi.org/10.18280/isi.290313 Safeâi, R., Andrian, R., Sriatna, D.A., Tarigan, F.R. (2024). Classification of density and transparency of needle leaves types using AlexNet and VGG16 architecture. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 929-939. https://doi.org/10.18280/isi.290313 52Gandhi, A., Gani, P.H. Would Lecturers Use AI-Based Software to Write Scientific Article? A Quantitative Approach in Indonesia software adoption, artificial intelligence, AI-based software, lecturer, factors identification 29, 3, 941-950 https://doi.org/10.18280/isi.290314 Gandhi, A., Gani, P.H. (2024). Would lecturers use AI-based software to write scientific article? A quantitative approach in Indonesia. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 941-950. https://doi.org/10.18280/isi.290314 53Mande, S., Ramachandran, N. A Comprehensive Survey on Challenges and Issues in V2X and V2V Communication in 6G Future Generation Communication Models vehicular ad hoc networks, vehicle to vehicle, vehicle to everything, collective perception, information and communication technologies, road side units, data transmission 29, 3, 951-960https://doi.org/10.18280/isi.290315 Mande, S., Ramachandran, N. (2024). A comprehensive survey on challenges and issues in V2X and V2V communication in 6G future generation communication models. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 951-960. https://doi.org/10.18280/isi.290315 54 Nizamuddin, M.K., Mohammad, A.A.K., Hashmi, S.S., HariKrishna, D., Anusha, M. Efficient Routing in MANETs by Optimizing Packet Loss MANET, routing, buffer overflow, packet loss mitigation, intermediary node selection, network reliability, and congestion control 29, 3, 961-968 https://doi.org/10.18280/isi.290316 Nizamuddin, M.K., Mohammad, A.A.K., Hashmi, S.S., HariKrishna, D., Anusha, M. (2024). Efficient routing in MANETs by optimizing packet loss. IngĂ©nierie des SystĂšmes d âInformation, Vol. 29, No. 3, p. 961-968. https://doi.org/10.18280/isi.290316 55 Farchi, C., Farchi, F., Touzi, B., Mousrij, A. Sustainable Multidimensional Performance Prediction by ANN-Based Supervised Machine Learning machine learning, ANN, logistics, performance measurement system, road freight transport, supply chain sustainability 29, 3, 969-985https://doi.org/10.18280/isi.290317 Farchi, C., Farchi, F., Touzi, B., Mousrij, A. (2024). Sustainable multidimensional performance prediction by ANN- based supervised machine learning. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 3, p. 969-985. https://doi.org/10.18280/isi.290317 56 Thakur, P., Kumar, A., Nandan, D., Singh, G. Spectrum Monitoring Techniques for Spectrum Mobility in Connected Environments: A Technical Review cognitive radio, connected environments, dynamic spectrum access, spectrum sensing, spectrum monitoring, spectrum prediction, spectrum mobility 29, 3, 987-1003https://doi.org/10.18280/isi.290318 Thakur, P., Kumar, A., Nandan, D., Singh, G. (2024). Spectrum monitoring techniques for spectrum mobility in connected environments: A technical review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 987-1003. https://doi.org/10.18280/isi.290318 57 Ritzkal, Prakosa, B.A., Aprian, A.J., Al Ikhsan, S.H., Muljono, Zaky, U. Development and Implementation of an RFID-Enabled Automatic Rice Vending System Using Arduino Mega 2560 RFID, technology, Arduino Mega 2560, rice, prototype, autometed vending, point of sale 29, 3, 1005-1014https://doi.org/10.18280/isi.290319 Ritzkal, Prakosa, B.A., Aprian, A.J., Al Ikhsan, S.H., Muljono, Zaky, U. (2024). Development and implementation of an RFID-enabled automatic rice vending system using Arduino Mega 2560. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1005-1014. https://doi.org/10.18280/isi.290319 58 Subbarayudu, Y., Sureshbabu, A. Cluster Visualized Topic Modeling Paradigms for Recognition of Health- Related Topics Through a Machine Learning blockchain technology, machine learning, ledger, consensus, topic modeling, healthcare, decentralized platform, and sentiment analysis 29, 3, 1015-1030https://doi.org/10.18280/isi.290320 Subbarayudu, Y., Sureshbabu, A. (2024). Cluster visualized topic modeling paradigms for recognition of health-related topics through a machine learning. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 3, p. 1015-1030. https://doi.org/10.18280/isi.290320 59 Dasari, K., Mekala, S., Kaka, J.R. Evaluation of UDP-Based DDoS Attack Detection by Neural Network Classifier with Convex Optimization and Activation Functions Distributed Denial of Service (DDoS) attacks, machine learning, neural network classifier, multilayer perceptron, correlation methods, convex optimization methods, activation functions 29, 3, 1031-1042https://doi.org/10.18280/isi.290321 Dasari, K., Mekala, S., Kaka, J.R. (2024). Evaluation of UDP- based DDoS attack detection by neural network classifier with convex optimization and activation functions. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1031-1042. https://doi.org/10.18280/isi.290321 60Abdullah, A.A., Hussein, S.A. Detection and Mitigation Distribution Denial of Service Attack Based on Blockchain Concept Distributed Denial of Service (DDoS) attacks, TCP-based attacks, attack detection, blockchain technology, smart contracts 29, 3, 1043-1049https://doi.org/10.18280/isi.290322 Abdullah, A.A., Hussein, S.A. (2024). Detection and mitigation distribution denial of service attack based on blockchain concept. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1043-1049. https://doi.org/10.18280/isi.290322 61 Prasetyaningrum, P.T., Purwanto, P., Rochim, A.F. Analyzing Customer Engagement with Gamification Approach in the Banking Sector Using the Rasch Model customer engagement, gamification, mobile banking applications, Rasch models, analysis instruments 29, 3, 1051-1064https://doi.org/10.18280/isi.290323 Prasetyaningrum, P.T., Purwanto, P., Rochim, A.F. (2024). Analyzing customer engagement with gamification approach in the banking sector using the Rasch model. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 3, p. 1051-1064. https://doi.org/10.18280/isi.290323 62 Salman, E.A., Abdoon, R.S., George, L.E. Hybrid Clustering-Based Technique to Isolate Tumors in PET/CT Images clustering, hybrid, tumors, PET/CT, K- means, FCM 29, 3, 1065-1073https://doi.org/10.18280/isi.290324 Salman, E.A., Abdoon, R.S., George, L.E. (2024). Hybrid clustering-based technique to isolate tumors in PET/CT images. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1065-1073. https://doi.org/10.18280/isi.290324 63 Abdulkadhim, A.A.A., Mahmood, A.S., Ghanim, M.R. Block of Data Encryption Using the Modified XTEA Algorithm data encryption, XTEA algorithm, rossler system 29, 3, 1075-1083https://doi.org/10.18280/isi.290325 Abdulkadhim, A.A.A., Mahmood, A.S., Ghanim, M.R. (2024). Block of data encryption using the modified XTEA algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1075-1083. https://doi.org/10.18280/isi.290325 64 Mohammed, Y., Manoharan, A., Kappagantula, S., Manoharan, H. Optimizing Electric Vehicle Charging Costs Using Machine Learning Electric Vehicles, charging strategies, always charge model, dynamic programming, threshold-based rule, Q learning 29, 3, 1085-1095 https://doi.org/10.18280/isi.290326 Mohammed, Y., Manoharan, A., Kappagantula, S., Manoharan, H. (2024). Optimizing electric vehicle charging costs using machine learning. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 3, p. 1085-1095. https://doi.org/10.18280/isi.290326 65 Nakka, R., Lakshmi, T.S., Priyanka, D., Sai, N.R., Praveen, S.P., Sirisha, U. LAMBDA: Lexicon and Aspect-Based Multimodal Data Analysis of Tweet aspect based sentiment analysis, multimodal sentiment analysis, lexicon approach, twitter data, natural language models, fusion methods 29, 3, 1097-1106https://doi.org/10.18280/isi.290327 Nakka, R., Lakshmi, T.S., Priyanka, D., Sai, N.R., Praveen, S.P., Sirisha, U. (2024). LAMBDA: Lexicon and aspect-based multimodal data analysis of tweet. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 3, p. 1097-1106. https://doi.org/10.18280/isi.290327 66 Fitriansyah, A., Alfirman, Nugroho, R.A., Meitarice, S., Sukamto. Water Quality Monitoring and Control System for Fish Farmers Based on Internet of Things cultivation, RAD method, sensors, water quality 29, 3, 1107-1113 https://doi.org/10.18280/isi.290328 Fitriansyah, A., Alfirman, Nugroho, R.A., Meitarice, S., Sukamto. (2024). Water quality monitoring and control system for fish farmers base on Internet of Things. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 3, p. 1107-1113. https://doi.org/10.18280/isi.290328 67 Kadhim, Q.K., Altameemi, A.I., Abdulkader, R.M., Ahmed, S.T. Enhancement of Data Center Transmission Control Protocol Performance in Network Cloud Environments cloud computing, DCTCP, data center, TCP, Random Early Detection (RED), explicit congestion notification (ECN) 29, 3, 1115-1123 https://doi.org/10.18280/isi.290329 Kadhim, Q.K., Altameemi, A.I., Abdulkader, R.M., Ahmed, S.T. (2024). Enhancement of data center Transmission Control Protocol performance in network cloud environments. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1115- 1123. https://doi.org/10.18280/isi.290329 68Kadhim, K.J., Hadi, A.S. A Review of Semantic Annotation in the Context of the Linked Open Data Cloud semantic annotation, Linked Open Data (LOD), Semantic Web, metadata, Resource Description Framework (RDF), SPARQL Protocol and RDF Query Language (SPARQL), literature review 29, 3, 1125-1139https://doi.org/10.18280/isi.290330 Kadhim, K.J., Hadi, A.S. (2024). A review of semantic annotation in the context of the Linked Open Data cloud. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1125- 1139. https://doi.org/10.18280/isi.290330 69 Risnanto, S., Mohd, O., Hassan, N.H., Sikki, N., Gunawan, Hersusetiyati. E-Voting: A Novel of Generic Conceptual Framework e-Voting, framework, success, factor, general elections 29, 3, 1141-1149 https://doi.org/10.18280/isi.290331 Risnanto, S., Mohd, O., Hassan, N.H., Sikki, N., Gunawan, Hersusetiyati. (2024). E-Voting: A novel of generic conceptual framework. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1141-1149. https://doi.org/10.18280/isi.290331 70 Singh, H., Sharma, P., Prabha, C., Meenakshi, Singh, S. Ensemble Learning with an Adversarial Hypergraph Model and a Convolutional Neural Network to Forecast Stock Price Variations adversarial hypergraph model, artificial intelligence, ensemble learning, machine learning, neural network, recurrent unit stock price forecast, time series 29, 3, 1151-1160https://doi.org/10.18280/isi.290332 Singh, H., Sharma, P., Prabha, C., Meenakshi, Singh, S. (2024). Ensemble learning with an adversarial hypergraph model and a convolutional neural network to forecast stock price variations. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1151-1160. https://doi.org/10.18280/isi.290332 71Alkhafagee, K., Alsharifi, A.A. Node Clone Detection Protocols for Protect the WSNs: A Survey node clone, cloning attack detection, security attacks, Wireless Sensor Network s(WSNs), static and mobile nodes, centralized and distributed detection protocols 29, 3, 1161-1174https://doi.org/10.18280/isi.290333 Alkhafagee, K., Alsharifi, A.A. (2024). Node clone detection protocols for protect the WSNs: A survey. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 3, p. 1161-1174. https://doi.org/10.18280/isi.290333 72Benati, N., Bahi, H. Self-Supervised Spoken Term Detection for Query by Example attention mechanism, Fully Connected Convolutional Neural Network (FC-CNN), query by example, self-supervised learning, speech search, spoken term detection 29, 3, 1175-1181https://doi.org/10.18280/isi.290334 Benati, N., Bahi, H. (2024). Self-supervised spoken term detection for query by example. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 3, p. 1175-1181. https://doi.org/10.18280/isi.290334 73 H, M.R., Warni, E., Angriawan, R., Hariadi, M., Arif, Y.M., Maulina, D. Design of Flood Early Detection Based on the Internet of Things and Decision Support System flood, early warning system, Internet of Things (IoT), decision support system, TOPSIS 29, 3, 1183-1193https://doi.org/10.18280/isi.290335 H, M.R., Warni, E., Angriawan, R., Hariadi, M., Arif, Y.M., Maulina, D. (2024). Design of flood early detection based on the Internet of Things and decision support system. IngĂ©nierie des SystĂšmes dâInformation, Vol. 19, No. 3, p. 1183-1193. https://doi.org/10.18280/isi.290335 74 Mohammed, S.M., Al-Barrak, A., Mahmood, N.T. Enabling Technologies for Ultra-Low Latency and High-Reliability Communication in 6G Networks 6G networks, ultra-low latency, high- reliability communication, MEC integration, self-driving cars, edge computing technology 29, 3, 1195-1208https://doi.org/10.18280/isi.290336 Mohammed, S.M., Al-Barrak, A., Mahmood, N.T. (2024). Enabling technologies for ultra-low latency and high-reliability communication in 6G networks. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 3, p. 1195-1208. https://doi.org/10.18280/isi.290336 75 Mahsup, Febriani, P.A., Syaharuddin, Mandailina, V., Abdillah, Ibrahim. Accuracy Rate of Least Square Support Vector Machine Method and Its Various Modifications: A Forecasting Evaluation on Multi-Type Data accuracy level, algorithm modifications, forecasting, the least squares method 29, 3, 1209-1218https://doi.org/10.18280/isi.290337 Mahsup, Febriani, P.A., Syaharuddin, Mandailina, V., Abdillah, Ibrahim. (2024). Accuracy rate of least square support vector machine method and its various modifications: A forecasting evaluation on multi-type data. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 29, No. 3, p. 1209-1208. https://doi.org/10.18280/isi.290337 76 Al Hak, L.A., Ali, W.A., Saba, S.J. Facial Expression Recognition Using Data Augmentation and Transfer Learning VGG-16, FER2013, facial emotion recognition, deep leaning, FER, data augmentation 29, 3, 1219-1225https://doi.org/10.18280/isi.290338 Al Hak, L.A., Ali, W.A., Saba, S.J. (2024). Facial expression recognition using data augmentation and transfer learning. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 3, p. 1219- 1225. https://doi.org/10.18280/isi.290338 77Setiaji, P., Adi, K., Surarso, B. Development of Classification Method for Determining Chicken Egg Quality Using GLCM-CNN Method egg crack, classification, GLCM-CNN 29, 2, 397-407https://doi.org/10.18280/isi.290201 Setiaji, P., Adi, K., Surarso, B. (2024). Development of classification method for determining chicken egg quality using GLCM-CNN method. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 397-407. https://doi.org/10.18280/isi.290201 78Li, F., Rosli, M.M., Wang, Y.J. A Review of Image and Text Feature Extraction Methods in Fake News Detection Tasks deep learning, fake news detection, feature extraction, multi-modal, textual feature, visual feature 29, 2, 409-420https://doi.org/10.18280/isi.290202 Li, F., Rosli, M.M., Wang, Y.J. (2024). A review of image and text feature extraction methods in fake news detection tasks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 409-420. https://doi.org/10.18280/isi.290202 79 Salama, G.M., Metwly, S.S., Shehata, E.G., Abd El-haleem, A.M. Maximizing IoT Throughput with Optimized IRS-Assisted Symbiotic Radio Internet of Things (IoT), Proximal Policy Optimization (PPO), Wi-Fi, Intelligent Reflecting Surfaces (IRS), Symbiotic Radio (SR), None Orthogonal Multiple Access (NOMA), optimization 29, 2, 421-427 https://doi.org/10.18280/isi.290203 Salama, G.M., Metwly, S.S., Shehata, E.G., Abd El-haleem, A.M. (2024). Maximizing IoT throughput with optimized IRS- assisted symbiotic radio. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 421-427. https://doi.org/10.18280/isi.290203 80 Selmi, A.T.E., Zerarka, M.F., Cheriet, A. Enhancing K-Means Clustering with Post-Redistribution K-means, enhanced K-means, post- clustering redistribution, Davies-Bouldin Index, Gini coefficient 29, 2, 429-436https://doi.org/10.18280/isi.290204 Selmi, A.T.E., Zerarka, M.F., Cheriet, A. (2024). Enhancing K-means clustering with post-redistribution. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 429-436. https://doi.org/10.18280/isi.290204 81 Jamil, M., Hadiyanto, H., Sanjaya, R. Sentiment Analysis: Classifying Public Comments on YouTube in Disaster Management Simulation in Indonesia Using NaĂŻve Bayes and Support Vector Machine disaster, simulation, sentiment analysis, naĂŻ ve bayes, Support Vector Machine, classification, YouTube 29, 2, 437-446 https://doi.org/10.18280/isi.290205 Jamil, M., Hadiyanto, H., Sanjaya, R. (2024). Sentiment analysis: Classifying public comments on YouTube in disaster management simulation in Indonesia using NaĂŻve Bayes and support vector machine. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 437-446. https://doi.org/10.18280/isi.290205 82 Ali, A.F., Abdullah, R.H., Hassan, A.A., Abdullahi, H.O., Mohamed, M.M. COVID-19 Pandemic Impact on E- Learning Adoption and Its Utilization at Higher Education: A Comparative Analysis of Institutions and Students' Perspectives information system, success factors, DeLone and McLeanâs model, E-learning platform 29, 2, 447-457 https://doi.org/10.18280/isi.290206 Ali, A.F., Abdullah, R.H., Hassan, A.A., Abdullahi, H.O., Mohamed, M.M. (2024). COVID-19 pandemic impact on E- learning adoption and its utilization at higher education: A comparative analysis of institutions and students' perspectives. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 447-457. https://doi.org/10.18280/isi.290206 83Ma, T. Quantitative Analysis of the Impact of Cloud Computing Service Models on the Employment Structure of College Graduates cloud computing, employment structure, Spark-Improved Random Forest (Spark- IRF) algorithm, college graduates, employment predictive analysis 29, 2, 459-467https://doi.org/10.18280/isi.290207 Ma, T. (2024). Quantitative analysis of the impact of cloud computing service models on the employment structure of college graduates. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 459-467. https://doi.org/10.18280/isi.290207 84 Oudina, Z., Derdour, M., Dib, A., Yaakoubi, M.A. Identifying and Addressing Trust Concerns in Cyber-Physical Systems for the Oil and Gas Industry Cyber-physical systems (CPSs), trust CPS, trust concerns, oil and gas(O&G), risk mitigation 29, 2, 469-478 https://doi.org/10.18280/isi.290208 Oudina, Z., Derdour, M., Dib, A., Yaakoubi, M.A. (2024). Identifying and addressing trust concerns in cyber-physical systems for the oil and gas industry. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 469-478. https://doi.org/10.18280/isi.290208 85 Wagle, S.A., Harikrishnan, R., Kotecha, K. Bilinear LSTM with Bayesian Gaussian Optimization for Predicting Tomato Plant Disease Using Meteorological Parameters Bayesian optimization, long short-term memory, prediction, relative humidity, temperature, tomato plant disease 29, 2, 479-492https://doi.org/10.18280/isi.290209 Wagle, S.A., Harikrishnan, R., Kotecha, K. (2024). Bilinear LSTM with Bayesian Gaussian optimization for predicting tomato plant disease using meteorological parameters. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 479- 492. https://doi.org/10.18280/isi.290209 86Qbouche, K., Rhoulami, K. Predicting Transport Mode in the Rabat Region: A Machine Learning Approach machine learning, k-nearest neighbors, multi-layer perceptron neural net-RBF, Bayesian belief network, support vector machine, multi-agent system, daily mobility 29, 2, 493-500https://doi.org/10.18280/isi.290210 Qbouche, K., Rhoulami, K. (2024). Predicting transport mode in the Rabat region: A machine learning approach. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 493-500. https://doi.org/10.18280/isi.290210 87Reda, N.H., Abbas, H.H. 3D Human Facial Traitsâ Analysis for Ethnicity Recognition Using Deep Learning 3D face classification, deep learning, face morphology, geometric features, race classification 29, 2, 501-514https://doi.org/10.18280/isi.290211 Reda, N.H., Abbas, H.H. (2024). 3D human facial traitsâ analysis for ethnicity recognition using deep learning. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 501- 514. https://doi.org/10.18280/isi.290211 88 Ali, Z.L., Hayale, W.S.A., Al_Barazanchi, I.I., Sekhar, R., Shah, P., Parihar, S. Efficient Cybersecurity Assessment Using SVM and Fuzzy Evidential Reasoning for Resilient Infrastructure histogram equalization, discrete cosine transform, cybersecurity, process innovation, resilient infrastructure, virtual learning background, human reactions, and recognition fuzzy-based convolutional neural network 29, 2, 515-521https://doi.org/10.18280/isi.290212 Ali, Z.L., Hayale, W.S.A., Al_Barazanchi, I.I., Sekhar, R., Shah, P., Parihar, S. (2024). Efficient cybersecurity assessment using SVM and fuzzy evidential reasoning for resilient infrastructure. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 515-521. https://doi.org/10.18280/isi.290212 89Azanbay, K. Innovative Technologies as a Factor of Information Security of the Republic of Kazakhstan data protection, information security, automated processes, technological innovation, digital economy, advanced systems, Kazakhstan 29, 2, 523-532https://doi.org/10.18280/isi.290213 Azanbay, K. (2024). Innovative technologies as a factor of information security of the Republic of Kazakhstan. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 523-532. https://doi.org/10.18280/isi.290213 90Abukhait, J. Dust Detection on Solar Panels: A Computer Vision Approach dust detection, gray level co-occurrence matrix, local binary pattern, photovoltaic panels, support vector machine 29, 2, 533-541https://doi.org/10.18280/isi.290214 Abukhait, J. (2024). Dust detection on solar panels: A computer vision approach. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 533-541. https://doi.org/10.18280/isi.290214 91Maganti, M.R., Rao, K.R. Optimising the Epmipv6 Protocol for the Analysis of Advanced Sensor Networks wireless advanced sensor networks, ASMAG, ASLMA, IEEE 802.11ax 29, 2, 543-549https://doi.org/10.18280/isi.290215 Maganti, M.R., Rao, K.R. (2024). Optimising the Epmipv6 protocol for the analysis of advanced sensor networks. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 543- 549. https://doi.org/10.18280/isi.290215 92Mediani, Y., Gharzouli, M. Hybrid Recommender System for Personalized Pedagogical Resource Recommendations in E-Learning Platforms collaborative filtering, deep neural network, E-learning, popularity-based, recommender system, Singular Value Decomposition 29, 2, 551-559https://doi.org/10.18280/isi.290216 Mediani, Y., Gharzouli, M. (2024). Hybrid recommender system for personalized pedagogical resource recommendations in e-learning platforms. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 551-559. https://doi.org/10.18280/isi.290216 93 Setiawan, W., Setiawan, M.M., Pramudita, Y.D., Mulaab. Inception-v3 with Reduce Learning Rate for Optimization of Lung Cancer Histopathology Classification image classification, lung cancer, Inception- v3, reduced learning rate, transfer learning, histopathology, hyperparameter optimization 29, 2, 561-570https://doi.org/10.18280/isi.290217 Setiawan, W., Setiawan, M.M., Pramudita, Y.D., Mulaab. (2024). Inception-v3 with reduce learning rate for optimization of lung cancer histopathology classification. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 29, No. 2, p. 561-570. https://doi.org/10.18280/isi.290217 94Kadhum, O.I., Hamad, A.H. Evaluating the Performance of a Multi- Organizational E-Government Platform on Hyperledger Fabric with Fuzzy Logic-Enhanced Multi-Channel Connectivity Hyperledger Fabric, blockchain, fuzzy logic e-government, multi-organization, multi- channel connectivity 29, 2, 571-580 https://doi.org/10.18280/isi.290218 Kadhum, O.I., Hamad, A.H. (2024). Evaluating the performance of a multi-organizational e-government platform on hyperledger fabric with fuzzy logic-enhanced multi-channel connectivity. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 571-580. https://doi.org/10.18280/isi.290218 95 Bouhata, D., Bouam, S., Moumen, H., Benreguia, B., Arar, C. Self-Stabilizing Algorithms for Computing Maximal Distance-2 Independent Sets and Minimal Dominating Sets in Networks self-stabilizing algorithm, expression model, maximal independent set, minimal dominating set, distributed system, network 29, 2, 581-590https://doi.org/10.18280/isi.290219 Bouhata, D., Bouam, S., Moumen, H., Benreguia, B., Arar, C. (2024). Self-stabilizing algorithms for computing maximal distance-2 independent sets and minimal dominating sets in networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 581-590. https://doi.org/10.18280/isi.290219 96 Maksutova, K., Niyazova, R., Talgat, A., Anetova, A., Yergesh, M. Synthesis of Concepts and Applications of Information Intelligent Systems and Knowledge Bases in Computer Science: A Systematic Literature Review artificial intelligence, knowledge bases, intelligent systems, digital technologies in education, information systems, IT sphere, learning process, system analysis 29, 2, 591-598 https://doi.org/10.18280/isi.290220 Maksutova, K., Niyazova, R., Talgat, A., Anetova, A., Yergesh, M. (2024). Synthesis of concepts and applications of information intelligent systems and knowledge bases in computer science: A systematic literature review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 591-598. https://doi.org/10.18280/isi.290220 97 Hadi, F., Slimani, Y., Douar, A., Alti, A., Saoud, F., Harkati, M. Improved Vigenere Cipher-RSA-Based Medical Image Security Through Multiple Encryption Keys cryptography, encryption and decryption, medical images, DICOM, RSA, security, transmission, Vigenere cipher 29, 2, 599-608 https://doi.org/10.18280/isi.290221 Hadi, F., Slimani, Y., Douar, A., Alti, A., Saoud, F., Harkati, M. (2024). Improved Vigenere cipher-rsa-based medical image security through multiple encryption keys. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 2, p. 599-608. https://doi.org/10.18280/isi.290221 98 Awad, A.S., Khalaf, M., Alsaadi, M. Deep Learning-Enhanced Cluster Head Optimization for Intrusion Detection in Wireless Sensor Networks cluster head selection, optimization, deep neural network, anomaly detection, classification 29, 2, 609-618https://doi.org/10.18280/isi.290222 Awad, A.S., Khalaf, M., Alsaadi, M. (2024). Deep learning- enhanced cluster head optimization for intrusion detection in wireless sensor networks. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 609-618. https://doi.org/10.18280/isi.290222 99 Kundaikar, T., Fadte, S., Karmali, R., Pawar, J.D. Automatic Hindi OCR Error Correction Using MLM-BERT Hindi, devanagari, MLM BERT, OCR, error correction, natural language processing, deep learning, post-processing 29, 2, 619-626 https://doi.org/10.18280/isi.290223 Kundaikar, T., Fadte, S., Karmali, R., Pawar, J.D. (2024). Automatic Hindi OCR error correction using MLM-BERT. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 619- 626. https://doi.org/10.18280/isi.290223 100 Devi, S. Review of Android Apps for Monitoring Pregnancy Symptoms and Care monitoring 1, pregnancy symptom 2, self- care 3, mHealth 4, pregnancy care 5, Androd mobile application 29, 2, 627-636https://doi.org/10.18280/isi.290224 Devi, S. (2024). Review of Android apps for monitoring pregnancy symptoms and care. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 627-636. https://doi.org/10.18280/isi.290224 101 Christanto, H.J., Lukas, Sutresno, S.A., Karolen, J. Unifying Variable Importance Scores from Different Machine Learning Models Using Simulated Annealing service quality, Servqual, user satisfaction, IT service 29, 2, 637-648https://doi.org/10.18280/isi.290225 Christanto, H.J., Lukas, Sutresno, S.A., Karolen, J. (2024). Evaluating user satisfaction of IT services through service quality approach. IngĂ©nierie des SystĂšmes dâInformation, Vol 29, No. 2, p. 637-648. https://doi.org/10.18280/isi.290225 102 Rusyana, A., Wigena, A.H., Sumertajaya, I.M., Sartono, B. Unifying Variable Importance Scores from Different Machine Learning Models Using Simulated Annealing machine learning, permutation variable importance, simulated annealing, simulation data, variable importance 29, 2, 649-657https://doi.org/10.18280/isi.290226 Rusyana, A., Wigena, A.H., Sumertajaya, I.M., Sartono, B. (2024). Unifying variable importance scores from different machine learning models using simulated annealing. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 649-657. https://doi.org/10.18280/isi.290226 103 Zhukova, O., Mandragelia, V., Chepurna, V., Ivanenko, L., Noskova, M. A Model of Using Digital Information Systems to Create Video Game Contexts: The Case of GPT Models and Its Effect artificial intelligence, information technology, information systems, video games, digital sphere, chat model, management strategies 29, 2, 659-667https://doi.org/10.18280/isi.290227 Zhukova, O., Mandragelia, V., Chepurna, V., Ivanenko, L., Noskova, M. (2024). A model of using digital information systems to create video game contexts: The case of GPT models and its effect. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 659-667. https://doi.org/10.18280/isi.290227 104 Mohammed, H.A.A., Jizany, A.A.K., Mahmood, I.M., Kadhim, Q.K. Predicting Alzheimer's Disease Using a Modified Grey Wolf Optimizer and Support Vector Machine predictive modelling, grey wolf optimizer, Alzheimerâs disease, support vector machine, gene selection, bioinformatics 29, 2, 669-676https://doi.org/10.18280/isi.290228 Mohammed, H.A.A., Jizany, A.A.K., Mahmood, I.M., Kadhim, Q.K. (2024). Predicting Alzheimer's disease using a modified grey wolf optimizer and support vector machine. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 669- 676. https://doi.org/10.18280/isi.290228 105 Honnegowda, J., Mallikarjunaiah, K., Srikantaswamy, M. An Efficient Abnormal Event Detection System in Video Surveillance Using Deep Learning-Based Reconfigurable Autoencoder deep learning, reconfigurable autoencoder (RAE), frame-level AUC, University of California, San Diego (UCSD) data sets, avenue dataset, video surveillance 29, 2, 677-686https://doi.org/10.18280/isi.290229 Honnegowda, J., Mallikarjunaiah, K., Srikantaswamy, M. (2024). An efficient abnormal event detection system in video surveillance using deep learning-based reconfigurable autoencoder. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 677-686. https://doi.org/10.18280/isi.290229 106 Thatha, V.N., Kumari, P.M.K., Sirisha, U., Manoj, V.V.R., Praveen, S.P. GLAD: Advanced Attention Mechanism-Based Model for Grape Leaf Disease Detection Yolov5-You only look once version5, convolutional neural network, shuffle attention, convolutional block attention module, efficient channel attention, multi- channel attention, agricultural disease detection 29, 2, 687-695https://doi.org/10.18280/isi.290230 Thatha, V.N., Kumari, P.M.K., Sirisha, U., Manoj, V.V.R., Praveen, S.P. (2024). GLAD: Advanced attention mechanism- based model for grape leaf disease detection. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 687-695. https://doi.org/10.18280/isi.290230 107 Hussein, S.A., Kareem, M.R., George, D.N. Minimizing the Cache Memory Miss Ratio Using Modified Replacement Algorithm (M-CAR) cache memory, replacements algorithms, cache miss, hit ratio, M-CAR 29, 2, 697-703https://doi.org/10.18280/isi.290231 Hussein, S.A., Kareem, M.R., George, D.N. (2024). Minimizing the cache memory miss ratio using modified replacement algorithm (M-CAR). IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 697-703. https://doi.org/10.18280/isi.290231 108 Shwaysh, M.M., Alani, S., Saad, M.A., Abdulhussein, T.A. Image Encryption and Steganography Method Based on AES Algorithm and Secret Sharing Algorithm Advanced Encryption Standards (AES) algorithm, Shamir secret sharing (S), hiding of encryption key with secret sharing, PSNR and MSE 29, 2, 705-714https://doi.org/10.18280/isi.290232 Shwaysh, M.M., Alani, S., Saad, M.A., Abdulhussein, T.A. (2024). Image encryption and steganography method based on AES algorithm and secret sharing algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 705-714. https://doi.org/10.18280/isi.290232 109 Marmoah, S., Supianto, Sukmawati, F., Poerwanti, J.I.S., Yantoro. The Elementary School Teachers Adoption of Learning Management System: A UTAUT Model Analysis Learning Management Systems (LMS), Unified Theory of Acceptance and Use of Technology (UTAUT), elementary school teachers 29, 2, 715-722 https://doi.org/10.18280/isi.290233 Marmoah, S., Supianto, Sukmawati, F., Poerwanti, J.I.S., Yantoro. (2024). The elementary school teachers adoption of learning management system: A UTAUT model analysis. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 715- 722. https://doi.org/10.18280/isi.290233 110 Kryshtanovych, M., Snihur, L., Buzhyna, I., Tiurina, D., Imeridze, M. Development of New Information Systems with the Involvement of Artificial Intelligence for the Men and Womenâs Work: A Methodical Approach to Assessment and Selection of the Optimal information, information Systems, artificial intelligence, modeling, men and women's work 29, 2, 723-730https://doi.org/10.18280/isi.290234 Kryshtanovych, M., Snihur, L., Buzhyna, I., Tiurina, D., Imeridze, M. (2024). Development of new information systems with the involvement of artificial intelligence for the men and womenâs work: A methodical approach to assessment and selection of the optimal. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 723-730. https://doi.org/10.18280/isi.290234 111 Deo, A., Khan, S.S., Doohan, N.V., Jain, A., Nighoskar, M., Dandawate, A. Analysis for Predicting Respiratory Diseases from Air Quality Attributes Using Recurrent Neural Networks and Other Deep Learning Techniques air pollution, air quality index, deep learning, recurrent neural network, respiratory diseases, predictive modeling 29, 2, 731-739 https://doi.org/10.18280/isi.290235 Deo, A., Khan, S.S., Doohan, N.V., Jain, A., Nighoskar, M., Dandawate, A. (2024). Analysis for predicting respiratory diseases from air quality attributes using recurrent neural networks and other deep learning techniques. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 731-739. https://doi.org/10.18280/isi.290235 112 Khalifi, H., Riahi, S., Cherif, W. Smart Cities and Sustainable Urban Development in Morocco information and communications technology, smart cities, territorial transformation, urban planning, sustainable governance, territorial development, Moroccan cities 29, 2, 741-751 https://doi.org/10.18280/isi.290236 Khalifi, H., Riahi, S., Cherif, W. (2024). Smart cities and sustainable urban development in Morocco. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 29, No. 2, p. 741-751. https://doi.org/10.18280/isi.290236 113 Vissapragada, S., Meena Abarna, K.T., Satya Sree, K.P.N.V. Optimizing Energy Efficiency in Wireless Sensor Networks via Cluster- Based Routing and a Hybrid Optimization Approach cluster based routing, cuckoo search algorithm, energy based multiobjective hybrid optimization algorithm, energy efficiency, whale optimization algorithm, wireless sensor networks 29, 2, 753-760https://doi.org/10.18280/isi.290237 Vissapragada, S., Meena Abarna, K.T., Satya Sree, K.P.N.V. (2024). Optimizing energy efficiency in wireless sensor networks via cluster-based routing and a hybrid optimization approach. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 2, p. 753-760. https://doi.org/10.18280/isi.290237 114 Mishra, P., Dash, R.K., Choudhury, T., Kotecha, K. Optimizing Residual Energy and Delay in WSN Routing Using Particle Swarm Optimization residual energy, particle swarm optimization, WSN lifetime, energy model, shortest path 29, 2, 761-770 https://doi.org/10.18280/isi.290238 Mishra, P., Dash, R.K., Choudhury, T., Kotecha, K. (2024). Optimizing residual energy and delay in WSN routing using particle swarm optimization. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 2, p. 761-770. https://doi.org/10.18280/isi.290238 115 Babu, B.V.S., Babu, K.S., Kare, D.P. BAB-SDMM: Blockchain Attribute Based Secure Data Management Model block chain, attribute, revocation, auxiliary tree, smart contract, encryption, decryption, policies 29, 1, 1-8https://doi.org/10.18280/isi.290101 Babu, B.V.S., Babu, K.S., Kare, D.P. (2024). BAB-SDMM: Blockchain attribute based secure data management model. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 1-8. https://doi.org/10.18280/isi.290101 116 Fakhet, W., El Khediri, S., Zidi, S. An Arabic OCR Approach Using Levenshtein Distance and CNNs AHCR, Convolutional Neural Network, Levenshtein distance, Jaccard distance, OCR 29, 1, 9-17https://doi.org/10.18280/isi.290102 Fakhet, W., El Khediri, S., Zidi, S. (2024). An Arabic OCR approach using Levenshtein distance and CNNs. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 9-17. https://doi.org/10.18280/isi.290102 117 Mohammed, S., Al-Aaraji, N., Al-Saleh, A. Comparative Analysis of Blockchain Platforms for Security Enhancement in Online Social Networks online social networks, security attacks, blockchain, centralized social networks, decentralized social networks, blockchain platforms, Steem, Ethereum 29, 1, 19-25https://doi.org/10.18280/isi.290103 Mohammed, S., Al-Aaraji, N., Al-Saleh, A. (2024). Comparative analysis of blockchain platforms for security enhancement in online social networks. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 1, p. 19-25. https://doi.org/10.18280/isi.290103 118 Ahmed, M., Ambudkar, B., Yadav, A. Efficient Power Estimation Using DSENT for 3D-Mesh on Chip Optic Communication Network DSENT, power consumption, 3D-mesh, optical communication, deterministic routing, adaptive routing, oblivious routing 29, 1, 27-35https://doi.org/10.18280/isi.290104 Ahmed, M., Ambudkar, B., Yadav, A. (2024). Efficient power estimation using DSENT for 3D-mesh on chip optic communication network. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 1, p. 27-35. https://doi.org/10.18280/isi.290104 119 Suryawati, C.T., Kholili, M.I., Susilo, A.T., Asrowi, Surur, N. Enhancing Effectiveness of Guidance and Counseling Services Through Web- Based Interactive Media web-based counseling, Interactive Media in Education, Content Validity Index (CVI), student engagement, educational technology 29, 1, 37-48https://doi.org/10.18280/isi.290105 Suryawati, C.T., Kholili, M.I., Susilo, A.T., Asrowi, Surur, N. (2024). Enhancing effectiveness of guidance and counseling services through web-based interactive media. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 37-48. https://doi.org/10.18280/isi.290105 120 Rachmad, A., Syarief, M., Hutagalung, J., Hernawati, S., Rochman, E.M.S., Asmara, Y.P. Comparison of CNN Architectures for Mycobacterium Tuberculosis Classification in Sputum Images tuberculosis, sputum images, convolutional neural network (CNN), classification, AlexNet 29, 1, 49-56https://doi.org/10.18280/isi.290106 Rachmad, A., Syarief, M., Hutagalung, J., Hernawati, S., Rochman, E.M.S., Asmara, Y.P. (2024). Comparison of CNN architectures for Mycobacterium tuberculosis classification in sputum images. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 49-56. https://doi.org/10.18280/isi.290106 121 Warda, L., Ahmed, S.S., Hayatou, O., Kaladzavi, G., Samdalle, A., Kolyang. A Hidden Markov Model-Based Approach for Lightweight Ontology Modularization Using K-Means Clustering semantic web, ontology, modularization, hidden Markov model, RDF triple, ontology module, K-means clustering 29, 1, 57-64https://doi.org/10.18280/isi.290107 Warda, L., Ahmed, S.S., Hayatou, O., Kaladzavi, G., Samdalle, A., Kolyang. (2024). A hidden Markov model-based approach for lightweight ontology modularization using K-Means clustering. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 57-64. https://doi.org/10.18280/isi.290107 122 Ibrahim, A., Al Sayed, I.A.M., Jabbar, M.S., Almutairi, H., Sekhar, R., Shah, P., Al_Barazanchi, I.I. Evaluating the Impact of Emotions and Awareness on User Experience in Virtual Learning Environments for Sustainable Development Education computer science, network, virtual learning environment, human emotions, and awareness, Fuzzy-based Convolutional Neural Network, histogram equalization, sustainable development education, environmental education 29, 1, 65-73https://doi.org/10.18280/isi.290108 Ibrahim, A., Al Sayed, I.A.M., Jabbar, M.S., Almutairi, H., Sekhar, R., Shah, P., Al_Barazanchi, I.I. (2024). Evaluating the impact of emotions and awareness on user experience in virtual learning environments for sustainable development education. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 65-73. https://doi.org/10.18280/isi.290108 123 Beyyala, A., Priya, R., Choudari, S.R., Bhavani, R. Swin Transformer and Attention Guided Thyroid Nodule Segmentation on Ultrasound Images attention guided network, DDTI, deep learning, Swin Transformer, thyroid nodule, ultrasound image segmentation 29, 1, 75-81https://doi.org/10.18280/isi.290109 Beyyala, A., Priya, R., Choudari, S.R., Bhavani, R. (2024). Swin Transformer and attention guided thyroid nodule segmentation on ultrasound images. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 1, p. 75-81. https://doi.org/10.18280/isi.290109 124Chatra, M., Bourahla, M. Agent-Based Simulation of Crowd Evacuation Through Complex Spaces crowd evacuation behavior, agent-based model simulation, artificial intelligence, behavior animation, effectiveness, efficiency evaluation 29, 1, 83-93 https://doi.org/10.18280/isi.290110 Chatra, M., Bourahla, M. (2024). Agent-based simulation of crowd evacuation through complex spaces. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 1, p. 83-93. https://doi.org/10.18280/isi.290110 125 Masykur, F., Adi, K., Nurhayati, O.D. Measuring Agricultural Area Using YOLO Object Detection and ArUco Markers Yolo v4, ArUco marker, reference image, object detection, drone image 29, 1, 95-106https://doi.org/10.18280/isi.290111 Masykur, F., Adi, K., Nurhayati, O.D. (2024). Measuring agricultural area using Yolo object detection and ArUco markers. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 95-106. https://doi.org/10.18280/isi.290111 126 Christanto, H.J., Sutresno, S.A., Singgalen, Y.A., Dewi, C. Analyzing Benefits of Online Train Ticket Reservation App Using Technology Acceptance Model KAI access, satisfaction, structural equation model, technology acceptance model, train reservation ticket 29, 1, 107-115 https://doi.org/10.18280/isi.290112 Christanto, H.J., Sutresno, S.A., Singgalen, Y.A., Dewi, C. (2024). Analyzing benefits of online train ticket reservation app using technology acceptance model. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 1, p. 107-115. https://doi.org/10.18280/isi.290112 127Loucif, H. A Hybrid Deep Learning Approach for Spam Detection in Twitter spam, deep neural networks, CNN, PCA, Twitter, Anomaly detection, text classification, social networks, cybersecurity 29, 1, 117-123 https://doi.org/10.18280/isi.290113 Loucif, H. (2024). A hybrid deep learning approach for spam detection in Twitter. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 117-123. https://doi.org/10.18280/isi.290113 128 Chasipanta, G.R.V., SĂĄnchez- Pozo, N.N. Long-Term Forecasting of Euro-Dollar Exchange Rates Using the ARIMA Model and Multilayer Perceptron exchange rates, time series forecasting, ARIMA, neural network, MLP multilayer perceptron, accuracy, scaled mean absolute error (MASE), long-term prediction 29, 1, 125-139https://doi.org/10.18280/isi.290114 Chasipanta, G.R.V., SĂĄnchez-Pozo, N.N. (2024). Long-term forecasting of euro-dollar exchange rates using the ARIMA model and multilayer perceptron. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 1, p. 125-139. https://doi.org/10.18280/isi.290114 129 Jawad, W.K., Kaittan, N.M., Sabri, B.T. Neuronal Network-Founded Machine Knowledge with Pythons in Data Mining for Vast Information Classifications distributions on the big data, transform of the analytics, basic process of data mining, sectorize, the identification of review 29, 1, 141-146 https://doi.org/10.18280/isi.290115 Jawad, W.K., Kaittan, N.M., Sabri, B.T. (2024). Neuronal network-founded machine knowledge with pythons in data mining for vast information classifications. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 1, p. 141-146. https://doi.org/10.18280/isi.290115 130 Jawad, W., Al-Bakry, A. Comparative Efficiency Evaluation of Hadoop and Spark Frameworks Using Random Forest Algorithm for Intrusion Detection big data, distributed frameworks, Hadoop, intrusion detection system, machine learning, performance, Random Forest, spark 29, 1, 147-152https://doi.org/10.18280/isi.290116 Jawad, W., Al-Bakry, A. (2024). Comparative efficiency evaluation of Hadoop and spark frameworks using random forest algorithm for intrusion detection. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 1, p. 147-152. https://doi.org/10.18280/isi.290116 131Bobrova, Y., Bobrov, Y., Vavreniuk, S., Bondarenko, O. Algorithmic Framework for an Information System Ensuring Sustainable Development and National Security sustainable development, information, security, system, information system, graphical modeling language 29, 1, 153-159https://doi.org/10.18280/isi.290117 Bobrova, Y., Bobrov, Y., Vavreniuk, S., Bondarenko, O. (2024). Algorithmic framework for an information system ensuring sustainable development and national security. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 153- 159. https://doi.org/10.18280/isi.290117 132 Chamid, A.A., Widowati, Kusumaningrum, R. Labeling Consistency Test of Multi- Label Data for Aspect and Sentiment Classification Using the Cohen Kappa Method labeling multi-label data, aspect-based sentiment analysis, consistency test, Cohen Kappa, classification 29, 1, 161-167https://doi.org/10.18280/isi.290118 Chamid, A.A., Widowati, Kusumaningrum, R. (2024). Labeling consistency test of multi-label data for aspect and sentiment classification using the Cohen Kappa method. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 161- 167. https://doi.org/10.18280/isi.290118 133Almiman, A., Othman, M.T.B. Predictive Analysis of Computer Science Student Performance: An ACM2013 Knowledge Area Approach Educational Data Mining (EDM), Association for Computing Machinery (ACM), Knowledge Area (KA), data mining, machine learning, prediction model 29, 1, 169-189https://doi.org/10.18280/isi.290119 Almiman, A., Othman, M.T.B. (2024). Predictive analysis of computer science student performance: An ACM2013 knowledge area approach. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 1, p. 169-189. https://doi.org/10.18280/isi.290119 134 Berbiche, N., Hlyal, M., El Alami, J. Enhancing Supply Chain Resilience and Efficiency through Fuzzy Logic- based Decision-Making Automation in Volatile Environments decision-making automation, fuzzy logic, Mamdani approach, MATLAB, predictive models, supply chain planning, uncertainty mitigation 29, 1, 191-203https://doi.org/10.18280/isi.290120 Berbiche, N., Hlyal, M., El Alami, J. (2024). Enhancing supply chain resilience and efficiency through fuzzy logic-based decision-making automation in volatile environments. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 191- 203. https://doi.org/10.18280/isi.290120 135 Sahibu, S., Sakti, A., Iskandar, A. Risk Management Analysis of SMK Telkom Makassar's Integrated Academic Information System in Compliance with ISO 31000 Standards Integrated Academic Information System (iGracias), SMK Telkom Makassar and information technology security 29, 1, 205-218https://doi.org/10.18280/isi.290121 Sahibu, S., Sakti, A., Iskandar, A. (2024). Risk management analysis of SMK Telkom Makassar's Integrated Academic Information System in compliance with ISO 31000 standards. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 205-218. https://doi.org/10.18280/isi.290121 136 Yasa, A.D., Rahayu, S., Handayanto, S.K., Ekawati, R. Evaluating the Impact of Smart Learning-Based Inquiry on Enhancing Digital Literacy and Critical Thinking Skills 21st-century skills, critical thinking, digital literacy, educational technology, inquiry- based learning, smart learning-based inquiry (SLBI) 29, 1, 219-233https://doi.org/10.18280/isi.290122 Yasa, A.D., Rahayu, S., Handayanto, S.K., Ekawati, R. (2024). Evaluating the impact of smart learning-based inquiry on enhancing digital literacy and critical thinking skills. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 219-233. https://doi.org/10.18280/isi.290122 137 Paladugu, R.K., Kancherla, G.R. Augmenting Document Classification Accuracy Through the Integration of Deep Contextual Embeddings Deep Contextual Embedding Models, text clustering algorithms, document classification, natuaral language processing and machine learning 29, 1, 235-246https://doi.org/10.18280/isi.290123 Paladugu, R.K., Kancherla, G.R. (2024). Augmenting document classification accuracy through the integration of deep contextual embeddings. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 1, p. 235-246. https://doi.org/10.18280/isi.290123 138 Khan, S.S., Sudan, J.S., Pathak, A., Pandit, R., Rane, P., Kumawat, A.K. A Review of EEG Artifact Removal Methods for Brain-Computer Interface Applications electroencephalogram (EEG), brain- computer interface (BCI), artifact removal, Principal Component Analysis (PCA), wavelet convolution 29, 1, 247-252https://doi.org/10.18280/isi.290124 Khan, S.S., Sudan, J.S., Pathak, A., Pandit, R., Rane, P., Kumawat, A.K. (2024). A review of EEG artifact removal methods for brain-computer interface applications. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 247-252. https://doi.org/10.18280/isi.290124 139Sangwan, P., Banita. Role of Blockchain Technology in Data Security for Healthcare healthcare, blockchain, encryption, security, performance, hashing, deep learning 29, 1, 253-260 https://doi.org/10.18280/isi.290125 Sangwan, P., Banita. (2024). Role of blockchain technology in data security for healthcare. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 1, p. 253-260. https://doi.org/10.18280/isi.290125 140 Hadi, T.H., Kadum, J., Kadhim, Q.K., Ahmed, S.T. An Enhanced Cloud Storage Auditing Approach Using Boneh-Lynn-Shacham âs Signature and Automatic Blocker Protocol public auditing, cloud computing, automatic blocker protocol, third-party auditors, cloud storage, Boneh-Lynn- Shachamâs 29, 1, 261-268https://doi.org/10.18280/isi.290126 Hadi, T.H., Kadum, J., Kadhim, Q.K., Ahmed, S.T. (2024). An enhanced cloud storage auditing approach using Boneh-Lynn- Shachamâs signature and automatic blocker protocol. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 261- 268. https://doi.org/10.18280/isi.290126 141 Kirla, J.U.N., Oruganti, B.V., Duggempudi, B.R., Kakarlapudi, V.R.R., Yalla, P. Optimizing Fertilizer Recommendations for Banana Plant Using Feature Extraction Method and Machine Learning Classification banana plant, feature extraction, fertilizers, machine learning techniques, plants, soil 29, 1, 269-277 https://doi.org/10.18280/isi.290127 Kirla, J.U.N., Oruganti, B.V., Duggempudi, B.R., Kakarlapudi, V.R.R., Yalla, P. (2024). Optimizing fertilizer recommendations for banana plant using feature extraction method and machine learning classification. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 29, No. 1, p. 269-277. https://doi.org/10.18280/isi.290127 142 Merzougui, G., Boulelouah, N., Mokhtari, A., Hebira, A. Improving the Approval Process for Durum Wheat Grain Quality in Algeria Using Computer Vision and Machine Learning durum wheat, quality control, variety/impurity classification, image segmentation, machine learning, hyperparameter tuning 29, 1, 279-291 https://doi.org/10.18280/isi.290128 Merzougui, G., Boulelouah, N., Mokhtari, A., Hebira, A. (2024). Improving the approval process for durum wheat grain quality in Algeria using computer vision and machine learning. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 279-291. https://doi.org/10.18280/isi.290128 143 Alzami, F., Salam, A., Rizqa, I., Irawan, C., Andono, P.N., Aqmala, D., Sartika, M. Demand Prediction for Food and Beverage SMEs Using SARIMAX and Weather Data demand prediction, SME, SARIMAX, VAR, food, weather data, temperature, humidity 29, 1, 293-300https://doi.org/10.18280/isi.290129 Alzami, F., Salam, A., Rizqa, I., Irawan, C., Andono, P.N., Aqmala, D., Sartika, M. (2024). Demand prediction for food and beverage SMEs using SARIMAX and weather data. IngĂ© nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 293- 300. https://doi.org/10.18280/isi.290129 144Khorseed, W.S., Hamad, A.H. Inter and Intra Domain DDoS Attack Mitigation for Software Defined Network Based on Hyperledger Fabric Blockchain Technology DDoS, attack mitigation, SDN, Hyperledger Fabric, smart contract, inter domain, intra domain 29, 1, 301-311 https://doi.org/10.18280/isi.290130 Khorseed, W.S., Hamad, A.H. (2024). Inter and intra domain DDoS attack mitigation for software defined network based on Hyperledger Fabric blockchain technology. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 1, p. 301-311. https://doi.org/10.18280/isi.290130 145 Khotimah, B.K., Anamisa, D.R., Kustiyahningsih, Y., Fauziah, A.N., Setiawan, E. Enhancing Small and Medium Enterprises: A Hybrid Clustering and AHP-TOPSIS Decision Support Framework decision support system, recommendation, SME, clustering method, AHP-TOPSIS 29, 1, 313-321https://doi.org/10.18280/isi.290131 Khotimah, B.K., Anamisa, D.R., Kustiyahningsih, Y., Fauziah, A.N., Setiawan, E. (2024). Enhancing small and medium enterprises: A hybrid clustering and AHP-TOPSIS decision support framework. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 313-321. https://doi.org/10.18280/isi.290131 146 Ledmi, A., Ledmi, M., Souidi, M.E.H., Haouassi, H., Bardou, D. Optimizing Task Scheduling in Cloud Computing Using Discrete Tuna Swarm Optimization cloud computing, task scheduling, Discrete Tuna Swarm Optimization (DTSO), load balancing, performance evaluation, makespan, throughput time, average waiting time 29, 1, 323-335https://doi.org/10.18280/isi.290132 Ledmi, A., Ledmi, M., Souidi, M.E.H., Haouassi, H., Bardou, D. (2024). Optimizing task scheduling in cloud computing using Discrete Tuna Swarm Optimization. IngĂ©nierie des SystĂš mes dâInformation, Vol. 29, No. 1, p. 323-335. https://doi.org/10.18280/isi.290132 147 Ghibeche, Y., Sellam, A., Nouri, N., Khaldi, A., Harrane, A., Ghibeche, I. Machine Learning for Forest Fire Prediction: A Case Study in North Algeria forest fire, fire prediction system, machine learning, decision tree, random forest 29, 1, 337-346https://doi.org/10.18280/isi.290133 Ghibeche, Y., Sellam, A., Nouri, N., Khaldi, A., Harrane, A., Ghibeche, I. (2024). Machine learning for forest fire prediction: A case study in North Algeria. IngĂ©nierie des SystĂšmes dâ Information, Vol. 29, No. 1, p. 337-346. https://doi.org/10.18280/isi.290133 148Hanon, W., Salman, M.A. Integration of ML Techniques for Early Detection of Breast Cancer: Dimensionality Reduction Approach Principal Component Analysis PCA, K- nearest neighbor KNN, integrate PCA and KNN DPBC, dimensionality reduction, diagnosis breast cancer DBC, Breast Cancer Wisconsin medical dataset BCW 29, 1, 347-353https://doi.org/10.18280/isi.290134 Hanon, W., Salman, M.A. (2024). Integration of ML techniques for early detection of breast cancer: Dimensionality reduction approach. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 347-353. https://doi.org/10.18280/isi.290134 149Sreedharan, S., Nadarajan, R. Nesterov Accelerated Gradient Descent for Optimizing Fast Harmonic Mean Linear Discriminant Analysis dimensionality reduction, FHLDA, Stiefel manifold, accelerated optimization, gradient descent scheme, convex function, Nesterov accelerated gradient descent 29, 1, 355-367https://doi.org/10.18280/isi.290135 Sreedharan, S., Nadarajan, R. (2024). Nesterov accelerated gradient descent for optimizing Fast Harmonic mean linear discriminant analysis. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 355-367. https://doi.org/10.18280/isi.290135 150 Ouakasse, F., Mosaif, A., Rakrak, S. A QoS-Gateway-Based Framework for Prioritizing Emergency Data in IoMT Applications Internet of Medical Things (IoMT), Quality of Service (QoS), data prioritization, emergency healthcare, gateway 29, 1, 369-375https://doi.org/10.18280/isi.290136 Ouakasse, F., Mosaif, A., Rakrak, S. (2024). A QoS-gateway- based framework for prioritizing emergency data in IoMT applications. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 369-375. https://doi.org/10.18280/isi.290136 151 Ouchra, H., Belangour, A., Erraissi, A. Supervised Machine Learning Algorithms for Land Cover Classification in Casablanca, Morocco supervised learning, remote sensing, satellite image classification, machine learning, google earth engine 29, 1, 377-387https://doi.org/10.18280/isi.290137 Ouchra, H., Belangour, A., Erraissi, A. (2024). Supervised machine learning algorithms for land cover classification in Casablanca, Morocco. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 377-387. https://doi.org/10.18280/isi.290137 152AlMotairi, R.K., Hadwan, M. Sentiment Analysis Methods for Arabic Content on Social Media: A Systematic Review Arabic sentiment analysis, systematic review, social media, opinion analysis, deep learning and machine learning 29, 1, 389-396https://doi.org/10.18280/isi.290138 AlMotairi, R.K., Hadwan, M. (2024). Sentiment analysis methods for arabic content on social media: A systematic review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 29, No. 1, p. 389-396. https://doi.org/10.18280/isi.290138 153Alqaan, S.E., Qamar, A.M. Sentiment Analysis of Arabic Tweets on Online Learning During the COVID-19 Pandemic: A Machine Learning and LSTM Approach ARABIC tweets, COVID-19, deep learning (DL), long short-term memory (LSTM), machine learning (ML), online learning, opinion mining, sentiment analysis 28, 6, 1435-1443https://doi.org/10.18280/isi.280601 Alqaan, S.E., Qamar, A.M. (2023). Sentiment analysis of Arabic tweets on online learning during the COVID-19 pandemic: A machine learning and LSTM approach. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1435-1443. https://doi.org/10.18280/isi.280601 154 Meharunnisa, Saqlain, M., Abid, M., Awais, M., SteviÄ, Ćœ. Analysis of Software Effort Estimation by Machine Learning Techniques estimation, machine learning, software, data-driven, linear regression, gradient boosting, random forest, root mean squared error (RMSE) 28, 6, 1445-1457 https://doi.org/10.18280/isi.280602 Meharunnisa, Saqlain, M., Abid, M., Awais, M., SteviÄ, Ćœ. (2023). Analysis of software effort estimation by machine learning techniques. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1445-1457. https://doi.org/10.18280/isi.280602 155 Mahajan, A., Kumar, S., Kale, S. Sentiment Analysis of User Reviews for "Digi Tour" and "Audio Odigos" Smart Tour Guide Applications Smart Tour Guide app, app technology, sentiment analysis, Digi Tour app, user reviews, azure machine learning, Audio Odigos app, Indian cultural heritage 28, 6, 1459-1466https://doi.org/10.18280/isi.280603 Mahajan, A., Kumar, S., Kale, S. (2023). Sentiment analysis of user reviews for 'Digi Tour' and 'Audio Odigos' Smart Tour Guide applications. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1459-1466. https://doi.org/10.18280/isi.280603 156 Gadde, S., Rao, G.S., Veesam, V.S., Yarlagadda, M., Patibandla, R.S.M.L. Secure Data Sharing in Cloud Computing: A Comprehensive Survey of Two-Factor Authentication and Cryptographic Solutions cloud computing, data sharing, two factor authentication, cryptography, cloud storage, security challenges, data privacy, access control, cloud security 28, 6, 1467-1477 https://doi.org/10.18280/isi.280604 Gadde, S., Rao, G.S., Veesam, V.S., Yarlagadda, M., Patibandla, R.S.M.L. (2023). Secure data sharing in cloud computing: A comprehensive survey of two-factor authentication and cryptographic solutions. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 28, No. 6, p. 1467-1477. https://doi.org/10.18280/isi.280604 157 Malla, S., Sahu, P.K., Patnaik, S., Biswal, A.K., Nayak, M. IoT-Enabled Smart Anti-Smog Towers: A Novel Approach to Urban Air Pollution Control green house effect, smog, Anti-Smog tower, cloud storage, pollution control, Internet of Things (IoT), environmental sensing, air quality monitoring 28, 6, 1479-1493 https://doi.org/10.18280/isi.280605 Malla, S., Sahu, P.K., Patnaik, S., Biswal, A.K., Nayak, M. (2023). IoT-enabled smart anti-smog towers: A novel approach to urban air pollution control. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 6, p. 1479-1493. https://doi.org/10.18280/isi.280605 158 Abdullahi, H.O., Mahmud, M., Hassan, A.A., Ali, A.F. A Bibliometric Analysis of the Evolution of IoT Applications in Smart Agriculture bibliometric analysis, Internet of Things (IoT), smart agriculture, smarting farming, science mapping 28, 6, 1495-1504https://doi.org/10.18280/isi.280606 Abdullahi, H.O., Mahmud, M., Hassan, A.A., Ali, A.F. (2023). A bibliometric analysis of the evolution of IoT applications in smart agriculture. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 6, p. 1495-1504. https://doi.org/10.18280/isi.280606 159 Hashmi, A., Nafis, M.T., Naaz, S., Nandan, D., Hussain, I. Predictive Modelling of Glycated Hemoglobin Levels Using Machine Learning Regressors diabetes, glycated hemoglobin, HbA1c, machine learning 28, 6, 1505-1513 https://doi.org/10.18280/isi.280607 Hashmi, A., Nafis, M.T., Naaz, S., Nandan, D., Hussain, I. (2023) Predictive modelling of glycated hemoglobin levels using machine learning regressors. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 6, p. 1505-1513. https://doi.org/10.18280/isi.280607 160 Rozikin, C., Buono, A., Wahjuni, S., Arif, C., Widodo. ANOVA-Artificial Bee Colony Algorithm-Driven Feature Selection for Classifying Downy Mildew Severity in Melon Leaves analysis of variance (ANOVA), artificial bee colony (ABC), ANOVA-ABC (AVABC) algorithm, downy mildew classification, feature selection, melon leaf disease, precision agriculture optimization 28, 6, 1515-1523https://doi.org/10.18280/isi.280608 Rozikin, C., Buono, A., Wahjuni, S., Arif, C., Widodo (2023) ANOVA-artificial bee colony algorithm-driven feature selection for classifying downy mildew severity in melon leaves. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1515-1523. https://doi.org/10.18280/isi.280608 161 Mohammad, M.T., Mahmood, H.A., Ali, Q.I. A Self-Powered IoT Platform with Security Mechanisms for Smart Agriculture Internet of Things (IoT), smart irrigation system, sustainability, secured system, self- powered system 28, 6, 1515-1523https://doi.org/10.18280/isi.280609 Mohammad, M.T., Mahmood, H.A., Ali, Q.I. (2023). A self- powered IoT platform with security mechanisms for smart agriculture. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1525-1532. https://doi.org/10.18280/isi.280609 162 Messaoudi, N., Hicham, H., Messaoud, M.T., Elkamel, H.M. Multi-Layer Consistency Validation of IoT Systems with UML Inheritance Dynamic Diagrams via SPIN Model Checking BĂŒchi automata, IoT healthcare, IoT, inheritances, SPIN Model Checker, UML dynamic diagram, multi-layer UML consistency checking, model transformations 28, 6, 1533-1547https://doi.org/10.18280/isi.280610 Messaoudi, N., Hicham, H., Messaoud, M.T., Elkamel, H.M. (2023). Multi-layer consistency validation of IoT systems with UML inheritance dynamic diagrams via SPIN model checking. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1533-1547. https://doi.org/10.18280/isi.280610 163 Kolisnychenko, T., Sefikhanova, K., Kapral, O., Karpenko, V., Sylkin, O. Development of an Algorithm for Internet Marketing Strategy Implementation: A Case Study in the EU Hotel and Restaurant Sector Internet marketing, information technology, innovative methods, marketing information systems, Internet of Things, hotel and restaurant business, innovative method 28, 6, 1549-1556https://doi.org/10.18280/isi.280611 Kolisnychenko, T., Sefikhanova, K., Kapral, O., Karpenko, V., Sylkin, O. (2023). Development of an algorithm for Internet marketing strategy implementation: A case study in the EU hotel and restaurant sector. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 6, p. 1549-1556. https://doi.org/10.18280/isi.280611 164 Bhardwaj, V., Thakur, D., Gera, T., Sharma, V. Enhanced Dialectal Speech Recognition in Punjabi Using Pitch-Based Acoustic Modeling Automatic Speech Recognition (ASR), pitch, Punjabi language, speech signal processing, dialectal variations 28, 6, 1557-1563https://doi.org/10.18280/isi.280612 Bhardwaj, V., Thakur, D., Gera, T., Sharma, V. (2023). Enhanced dialectal speech recognition in Punjabi using pitch- based acoustic modeling. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 6, p. 1557-1563. https://doi.org/10.18280/isi.280612 165Kanungo, S., Jain, S. Hybrid Deep Neural Network G-LSTM for Sentiment Analysis on Twitter: A Novel Approach to Disaster Management disaster management, social media, deep learning, hybrid neural network 28, 6, 1565-1575https://doi.org/10.18280/isi.280613 Kanungo, S., Jain, S. (2023). Hybrid deep neural network G- LSTM for sentiment analysis on twitter: A novel approach to disaster management. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1565-1575. https://doi.org/10.18280/isi.280613 166 Sutoyo, Marsal, A., Hamzah, M.L., Anderjovi, S., Nazaruddin, Sarbaini. Enhancing Tourism in Riau Province through Augmented Reality and Near Field Communication-Enabled Smart Posters Internet of Things (IoT), smart poster, Augmented Reality (AR), Near Field Communication (NFC) 28, 6, 1577-1585https://doi.org/10.18280/isi.280614 Sutoyo, Marsal, A., Hamzah, M.L., Anderjovi, S., Nazaruddin, Sarbaini. (2023). Enhancing tourism in Riau Province through augmented reality and near field communication-enabled smart posters. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1577-1585. https://doi.org/10.18280/isi.280614 167 Prakosa, B.A., Hendrawan, A.H., Setiadi, I.H., Ritzkal, Riawan, I., Riana, F. Implementation of a Real-Time Wi-Fi Voucher Notification System Utilizing Telegram API Bot notification system, Wi-Fi voucher, effectiveness, telegram bot notification, wireless access network 28, 6, 1587-1596https://doi.org/10.18280/isi.280615 Prakosa, B.A., Hendrawan, A.H., Setiadi, I.H., Ritzkal, Riawan, I., Riana, F. (2023). Implementation of a real-time Wi-Fi voucher notification system utilizing telegram API bot. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1587-1596. https://doi.org/10.18280/isi.280615 168 Kryshtanovych, S., Ivanytska, O., Markova, M., Hliudzyk, Y., Ivanova, A. A Graphical Language-Based Approach for Database Modeling in Higher Education Information Systems language, database, information, model, process, education 28, 6, 1597-1603https://doi.org/10.18280/isi.280616 Kryshtanovych, S., Ivanytska, O., Markova, M., Hliudzyk, Y., Ivanova, A. (2023). A graphical language-based approach for database modeling in higher education information systems. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1597-1603. https://doi.org/10.18280/isi.280616 169Neha, K., Kumar, R. Enhancing Graduate Academic Performance Prediction and Classification: An Analysis Using the Enhanced Correlated Feature Set Model graduate performance, interlinked precedent academic performance, feature set, deep learning, feature correlation 28, 6, 1605-1612 https://doi.org/10.18280/isi.280617 Neha, K., Kumar, R. (2023). Enhancing graduate academic performance prediction and classification: An analysis using the enhanced correlated feature set model. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 6, p. 1605-1612. https://doi.org/10.18280/isi.280617 170 Baqer, N.H., Sadiq, A.T., Ali, Z.H. Enhancement of Sentiment Analysis in Hotel Reviews Through Latent Semantic Indexing and Convolutional Neural Networks trip advisor, LSI, CNN, SVD, classification, standard evaluation metrics 28, 6, 1613-1618https://doi.org/10.18280/isi.280618 Baqer, N.H., Sadiq, A.T., Ali, Z.H. (2023). Enhancement of sentiment analysis in hotel reviews through latent semantic indexing and convolutional neural networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1613-1618. https://doi.org/10.18280/isi.280618 171 Saraswathi Devi, K.V.B., Srivenkatesh, M. Convolutional Neural Networks for Fault Detection in Grid-Connected Photovoltaic Panels fault detection, photovoltaic panel, deep neural networks, binary classification, multiclass classification, resilience 28, 6, 1619-1625 https://doi.org/10.18280/isi.280619 Saraswathi Devi, K.V.B., Srivenkatesh, M. (2023). Convolutional neural networks for fault detection in Grid- connected photovoltaic panels. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 6, p. 1619-1625. https://doi.org/10.18280/isi.280619 172 Shanmugam, G., Rajendran, D., Thanarajan, T., Murugaraj, S.S., Rajendran, S. Artificial Intelligence as a Catalyst in Digital Marketing: Enhancing Profitability and Market Potential artificial intelligence, digital marketing, income, sales transactions, customer information, informational media 28, 6, 1627-1636 https://doi.org/10.18280/isi.280620 Shanmugam, G., Rajendran, D., Thanarajan, T., Murugaraj, S.S., Rajendran, S. (2023). Artificial intelligence as a catalyst in digital marketing: Enhancing profitability and market potential. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1627-1636. https://doi.org/10.18280/isi.280620 173Alaqeeli, O. An Innovative Approach to Syntax-Free Interpretation in Functional Programming Languages functional programming, lexical analysis, syntax analysis, parse tree, compiler, interpreter, lucid 28, 6, 1637-1642https://doi.org/10.18280/isi.280621 Alaqeeli, O. (2023). An innovative approach to syntax-free interpretation in functional programming languages. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1637-1642. https://doi.org/10.18280/isi.280621 174 Dear, V., Dedi, N., Mardiani, A.S., Nugroho, H. Trends in IT Strategy Implementation: A Systematic Review Across Education and Industry (2000â2022) IT strategy, implementation, education, industry, bibliometric 28, 6, 1643-1651 https://doi.org/10.18280/isi.280622 Dear, V., Dedi, N., Mardiani, A.S., Nugroho, H. (2023). Trends in IT strategy implementation: A systematic review across education and industry (2000â2022). IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 28, No. 6, p. 1643-1651. https://doi.org/10.18280/isi.280622 175 Rahmatulloh, A., Supriatna, G.T., Widiyasono, N., Darmawan, I. IoT-Enabled Water Distribution Monitoring: A Sensor-Based Analytical Model device integration, distribution, monitoring, Thinger.io, water pressure 28, 6, 1653-1661https://doi.org/10.18280/isi.280623 Rahmatulloh, A., Supriatna, G.T., Widiyasono, N., Darmawan, I. (2023). IoT-enabled water distribution monitoring: A sensor- based analytical model. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1653-1661. https://doi.org/10.18280/isi.280623 176 Sanamdikar, S.T., Patil, S.A., Patil, D.O., Borawake, M.P. Enhanced Detection of Diabetic Retinopathy Using Ensemble Machine Learning: A Comparative Study machine learning, ensemble learning, deep learning and retinopathy in diabetics, deep convolutional neural networks (DCNNs), Messidor dataset 28, 6, 1663-1668https://doi.org/10.18280/isi.280624 Sanamdikar, S.T., Patil, S.A., Patil, D.O., Borawake, M.P. (2023). Enhanced detection of Diabetic Retinopathy using ensemble machine learning: A comparative study. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1663-1668. https://doi.org/10.18280/isi.280624 177 Hashmi, S.S., Abdul, A.M., Mohammad, A.A.K., Atheeq, C., Chinapaga, R. Advancing Secure Mobile Cloud Computing: A Chaotic Maps-Based Password Key Agreement Protocol security, authentication, key agreement, Mobile Cloud Computing (MCC), AVISPA, Chaotic Maps, mutual authentication 28, 6, 1669-1678https://doi.org/10.18280/isi.280625 Hashmi, S.S., Abdul, A.M., Mohammad, A.A.K., Atheeq, C., Chinapaga, R. (2023). Advancing secure mobile cloud computing: A Chaotic Maps-based password key agreement protocol. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1669-1678. https://doi.org/10.18280/isi.280625 178Lee, C., Kartowisastro, I.H. Enhancing Identity Document Classification in KYC Processes: An Evaluation of the Bag-of-Visual-Words Model and Segmentation Impact Lee, C., Kartowisastro, I.H.28, 6, 1679-1687https://doi.org/10.18280/isi.280626 Lee, C., Kartowisastro, I.H. (2023). Enhancing identity document classification in KYC processes: An evaluation of the Bag-of-Visual-Words model and segmentation impact. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1679- 1687. https://doi.org/10.18280/isi.280626 179 Krupa, O., Dydiv, I., Borutska, Y., Yatsko, M., Bazyka, S. Evaluating E-Business Performance in Tourism Within the Digital Era: A Novel Information System Model information, E-commerce, digitalization, cash flows, E-business, tourism, system 28, 6, 1689-1694https://doi.org/10.18280/isi.280627 Krupa, O., Dydiv, I., Borutska, Y., Yatsko, M., Bazyka, S. (2023). Evaluating E-business performance in tourism within the digital era: A novel information system model. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1689-1694. https://doi.org/10.18280/isi.280627 180 Premkumar, M., Rajakumar, S., Subraja, R. Signal Processing Algorithms for Mean Square Error Analysis in MIMO Wireless Transceivers mean square error, least squares, minimum mean square error, maximum likelihood, multiple input multiple output, transceiver 28, 6, 1695-1700https://doi.org/10.18280/isi.280628 Premkumar, M., Rajakumar, S., Subraja, R. (2023). Signal processing algorithms for mean square error analysis in MIMO wireless transceivers. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 6, p. 1695-1700. https://doi.org/10.18280/isi.280628 181 Makkulawu, A.R., Soemarno, Santoso, I., Mustaniroh, S.A. Exploring the Potential and Benefits of AHP and GIS Integration for Informed Decision-Making: A Literature Review Analytic Hierarchy Process (AHP), Geographic Information Systems (GIS), location, spatial decision-making 28, 6, 1701-1708https://doi.org/10.18280/isi.280629 Makkulawu, A.R., Soemarno, Santoso, I., Mustaniroh, S.A. (2023). Exploring the potential and benefits of AHP and GIS integration for informed decision-making: A literature review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1701-1708. https://doi.org/10.18280/isi.280629 182 Khaleel, A.H., Abbas, T.H., Ibrahim, A.W.S. Enhancing Human-Computer Interaction: A Comprehensive Analysis of Assistive Virtual Keyboard Technologies computer vision, eye-gazing, eye-tracking, human-computer interaction, virtual keyboard layout 28, 6, 1709-1717https://doi.org/10.18280/isi.280630 Khaleel, A.H., Abbas, T.H., Ibrahim, A.W.S. (2023). Enhancing human-computer interaction: A comprehensive analysis of assistive virtual keyboard technologies. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 6, p. 1709-1717. https://doi.org/10.18280/isi.280630 183 Subhi, M.I., Al-Doori, Q., Alani, O. Enhancing Data Communication Performance: A Comprehensive Review and Evaluation of LDPC Decoder Architectures Error Correction Codes (ECC), Field Programmable Gate Array (FPGA), Low- Density Parity-Check codes decoding algorithms, Low-Density Parity-Check codes (encoder/decoder), Parity Check Matrix (PCM) 28, 5, 1113-1125https://doi.org/10.18280/isi.280501 Subhi, M.I., Al-Doori, Q., Alani, O. (2023). Enhancing data communication performance: A comprehensive review and evaluation of LDPC decoder architectures. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 5, p. 1113-1125. https://doi.org/10.18280/isi.280501 184 Bruschetti, F.S., Guevara, J., Abeledo, M.C., Priano, D.A. An Empirical Evaluation of Automated Configuration Tools for Software- Defined Networking: A Usability and Performance Perspective SDN, computer networks, software-defined networking, network management, software tools, network configuration scripting, configuration management 28, 5, 1127-1134 https://doi.org/10.18280/isi.280502 Bruschetti, F.S., Guevara, J., Abeledo, M.C., Priano, D.A. (2023). An empirical evaluation of automated configuration tools for software-defined networking: A usability and performance perspective. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1127-1134. https://doi.org/10.18280/isi.280502 185 Boumaza, F., Benyamina, A.E.H., Zouache, D., Abualigah, L., Alsayat, A. An Improved Harris Hawks Optimization Algorithm Based on Bi- Goal Evolution and Multi-Leader Selection Strategy for Multi-Objective Optimization Harris Hawks Optimization, multi-objective optimization, Bi-Goal Evolution, pareto front, swarm intelligence, diversity, convergence 28, 5, 1135-1150https://doi.org/10.18280/isi.280503 Boumaza, F., Benyamina, A.E.H., Zouache, D., Abualigah, L., Alsayat, A. (2023). An improved Harris Hawks Optimization algorithm based on Bi-Goal Evolution and multi-leader selection strategy for multi-objective optimization. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1135-1150. https://doi.org/10.18280/isi.280503 186 Alhuseen, Z.A.A., Joda, F.A., Naser, M.A. Abnormal Behavior Detection in Gait Analysis Using Convolutional Neural Networks abnormal behavior detection, gait analysis, deep learning, feature extraction, local spatial features, Center Symmetric Local Binary Pattern (CS-LBP), Convolutional Neural Network (CNN) 28, 5, 1151-1159 https://doi.org/10.18280/isi.280504 Alhuseen, Z.A.A., Joda, F.A., Naser, M.A. (2023). Abnormal behavior detection in gait analysis using convolutional neural networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1151-1159. https://doi.org/10.18280/isi.280504 187 Anji Reddy, K., Regula, T., Sharmila, K., Srinivas, P.V.V.S., Ziaur Rahman, S. Performance Enhancement in Facial Emotion Classification Through Noise- Injected FERCNN Model: A Comparative Analysis Facial Emotion Recognition (FER), Convolutional Neural Network (CNN), ANN, image injected with noise, computational costs, image classification 28, 5, 1161-1175 https://doi.org/10.18280/isi.280505 Anji Reddy, K., Regula, T., Sharmila, K., Srinivas, P.V.V.S., Ziaur Rahman, S. (2023). Performance enhancement in facial emotion classification through noise-injected FERCNN model: A comparative analysis. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1161-1175. https://doi.org/10.18280/isi.280505 188Berbiche, N., El Alami, J. Enhancing Anomaly-Based Intrusion Detection Systems: A Hybrid Approach Integrating Feature Selection and Bayesian Hyperparameter Optimization Anomaly-Based Intrusion Detection System (IDS), feature selection, feature importance, Hyperparameter Optimization (HPO), Bayesian Optimization (BO), Machine Learning (ML), Extreme Gradient Boosting (XGBoost), Stochastic Gradient Descent (SGD) 28, 5, 1177-1195https://doi.org/10.18280/isi.280506 Berbiche, N., El Alami, J. (2023). Enhancing anomaly-based Intrusion Detection Systems: A hybrid approach integrating feature selection and Bayesian Hyperparameter Optimization. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1177-1195. https://doi.org/10.18280/isi.280506 189 Herwin, H., Prasojo, L.D., Saptono, B., Dahalan, S.C. Analyzing the Impact of Augmented Reality on Student Motivation: A Time Series Study in Elementary Education Augmented Reality, elementary education, student motivation, quantitative analysis, trend analysis 28, 5, 1197-1203 https://doi.org/10.18280/isi.280507 Herwin, H., Prasojo, L.D., Saptono, B., Dahalan, S.C. (2023). Analyzing the impact of augmented reality on student motivation: A time series study in elementary education. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1197- 1203. https://doi.org/10.18280/isi.280507 190 Widaningsih, S., Muhamad, W., Hendriyanto, R., Nugroho, H. An ID3 Decision Tree Algorithm- Based Model for Predicting Student Performance Using Comprehensive Student Selection Data at Telkom University student performance, decision tree, classification, Iterative Dichotomiser 3 (ID3), higher education 28, 5, 1205-1212https://doi.org/10.18280/isi.280508 Widaningsih, S., Muhamad, W., Hendriyanto, R., Nugroho, H. (2023). An ID3 decision tree algorithm-based model for predicting student performance using comprehensive student selection data at Telkom University. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1205-1212. https://doi.org/10.18280/isi.280508 191 Abd Al-Ameer, A.A., Bhaya, W.S. Enhanced Intrusion Detection in Software-Defined Networks Through Federated Learning and Deep Learning artificial intelligence, federated learning, software-defined networks, deep learning, network security, privacy 28, 5, 1213-1220https://doi.org/10.18280/isi.280509 Abd Al-Ameer, A.A., Bhaya, W.S. (2023). Enhanced intrusion detection in software-defined networks through federated learning and deep learning. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1213-1220. https://doi.org/10.18280/isi.280509 192 Ritzkal, R., Prakosa, B.A., Munandar, I.P.A., Amalia, P.P., Hendrawan, A.H., Kamilah, N. Remote-Controlled Bluetooth-Enabled Smart Shopping Cart: Prototype and Evaluation Internet of Things, automation, remote control, prototyping, shopping cart, Bluetooth 28, 5, 1221-1228https://doi.org/10.18280/isi.280510 Ritzkal, R., Prakosa, B.A., Munandar, I.P.A., Amalia, P.P., Hendrawan, A.H., Kamilah, N. (2023). Remote-controlled bluetooth-enabled smart shopping cart: Prototype and evaluation. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1221-1228. https://doi.org/10.18280/isi.280510 193 Kudithipudi, S., Narisetty, N., Kancherla, G.R., Bobba, B. Evaluating the Efficacy of Resampling Techniques in Addressing Class Imbalance for Network Intrusion Detection Systems Using Support Vector Machines class imbalance, Network Intrusion Detection Systems, resampling methods, cloud computing, Canadian Institute for Cyber Security Intrusion Detection dataset- 2017, Support Vector Machine (SVM) classifier 28, 5, 1229-1236https://doi.org/10.18280/isi.280511 Kudithipudi, S., Narisetty, N., Kancherla, G.R., Bobba, B. (2023). Evaluating the efficacy of resampling techniques in addressing class imbalance for Network Intrusion Detection Systems using support vector machines. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 5, p. 1229-1236. https://doi.org/10.18280/isi.280511 194 Barlybayev, A., Sankibayev, A., Kadyr, Y., Amangeldy, N., Sabyrov, T. Predicting Used-Vehicle Resale Value in Developing Markets: Application of Machine Learning Models to the Kazakhstan Car Market Kazakhstan car market, used car price prediction, linear regression, decision tree regression, SVM, neural network, bagged trees 28, 5, 1237-1246https://doi.org/10.18280/isi.280512 Barlybayev, A., Sankibayev, A., Kadyr, Y., Amangeldy, N., Sabyrov, T. (2023). Predicting used-vehicle resale value in developing markets: Application of machine learning models to the Kazakhstan car market. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1237-1246. https://doi.org/10.18280/isi.280512 195 Yadav, S., Bhardwaj, V., Thakur, D., Sharma, V. Enhancing Robotic Process Automation Task Selection: An Integrated Approach Leveraging Process Mining and Feature Extraction Robotic Process Automation (RPA), process mining, task selection, robotics, process discovery, task prioritization 28, 5, 1247-1254https://doi.org/10.18280/isi.280513 Yadav, S., Bhardwaj, V., Thakur, D., Sharma, V. (2023). Enhancing robotic process automation task selection: An integrated approach leveraging process mining and feature extraction. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1247-1254. https://doi.org/10.18280/isi.280513 196 Gupta, T., Verma, G., Akhter, S. Performance Analysis of a Generic Modular Adder via RTL Programming and IP Modeling Techniques on FPGA IP modeling, RTL, area, power, FPGA, modular adder 28, 5, 1255-1263https://doi.org/10.18280/isi.280514 Gupta, T., Verma, G., Akhter, S. (2023). Performance analysis of a generic modular adder via RTL programming and IP modeling techniques on FPGA. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1255-1263. https://doi.org/10.18280/isi.280514 197 Llanos, A.A.H., Huatangari, L.Q., Meza, J.R.Y., Monteza, A.H. Leveraging Text Mining for Analyzing Students' Preferences in Computer Science and Language Courses decision making, educational policy, R language, students' preferences, text mining WEKA, word cloud 28, 5, 1265-1273https://doi.org/10.18280/isi.280515 Llanos, A.A.H., Huatangari, L.Q., Meza, J.R.Y., Monteza, A.H. (2023). Leveraging text mining for analyzing students' preferences in computer science and language courses. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1265- 1273. https://doi.org/10.18280/isi.280515 198 Parvez, M.T., Alsuhibani, A.M., Alamri, A.H. Educational and Cybersecurity Applications of an Arabic CAPTCHA Gamification System Arabic language learning, CAPTCHA solving, gamification, challenge-response system, cyber awareness, question answering 28, 5, 1275-1285https://doi.org/10.18280/isi.280516 Parvez, M.T., Alsuhibani, A.M., Alamri, A.H. (2023). Educational and cybersecurity applications of an Arabic CAPTCHA gamification system. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1275-1285. https://doi.org/10.18280/isi.280516 199 Fariz, A.A., Abouchabaka, J., Rafalia, N. Harnessing the Power of Cloud-Based Big Data Analytics for E-Government Advancement in Morocco: A Catalyst for Development E-government, big data egov, Morocco egov, big data analytics, cloud computing, digital government 28, 5, 1287-1298 https://doi.org/10.18280/isi.280517 Fariz, A.A., Abouchabaka, J., Rafalia, N. (2023). Harnessing the power of cloud-based big data analytics for e-government advancement in Morocco: A catalyst for development. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1287- 1298. https://doi.org/10.18280/isi.280517 200 Abd Al Hussen, S.A., Alsaadi, E.M.T.A. Automated Identification and Classification of Brain Tumors Using Hybrid Machine Learning Models and MRI Imaging brain tumor, machine learning, magnetic resonance imaging (MRI), segmentation, classification, VGG16 28, 5, 1299-1308https://doi.org/10.18280/isi.280518 Abd Al Hussen, S.A., Alsaadi, E.M.T.A. (2023). Automated identification and classification of brain tumors using hybrid machine learning models and MRI imaging. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1299-1308. https://doi.org/10.18280/isi.280518 201 Andry, J.F., Hadiyanto, Gunawan, V. Refining the ISO 9126 Model for Enhanced Decision Support System Evaluation in the Manufacturing Industry ISO 9126, decision support system, user acceptance testing 28, 5, 1309-1315 https://doi.org/10.18280/isi.280519 Andry, J.F., Hadiyanto, Gunawan, V. (2023). Refining the ISO 9126 model for enhanced decision support system evaluation in the manufacturing industry. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1309-1315. https://doi.org/10.18280/isi.280519 202 Dennison, R., Dennison, R., Dasebenezer, G.K., Chinnathurai, E.S. Enhancing Lifespan and Energy Efficiency in Mobile Smart Dust Networks Mobile Smart Dust Networks (MSDNs), network lifespan enhancement, Low-Energy Adaptive Clustering Hierarchy (LEACH), energy efficiency, clustering 28, 5, 1317-1323 https://doi.org/10.18280/isi.280520 Dennison, R., Dennison, R., Dasebenezer, G.K., Chinnathurai, E.S. (2023). Enhancing lifespan and energy efficiency in mobile smart dust networks. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1317-1323. https://doi.org/10.18280/isi.280520 203Lopes, A., Prakash, K.B. Artificial Intelligence and Machine Learning Approaches to Document Digitization in the Banking Industry: An Analysis digitization, OCR, automation, extraction, CNN, artificial intelligence, machine learning, banking industry 28, 5, 1325-1334https://doi.org/10.18280/isi.280521 Lopes, A., Prakash, K.B. (2023). Artificial intelligence and machine learning approaches to document digitization in the banking industry: An analysis. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1325-1334. https://doi.org/10.18280/isi.280521 204 Lubis, A.R., Lase, Y.Y., Rahman, D.A., Witarsyah, D. Improving Spell Checker Performance for Bahasa Indonesia Using Text Preprocessing Techniques with Deep Learning Models text preprocessing, Convolutional Neural Network (CNN), deep learning, performance, Bahasa Indonesia 28, 5, 1335-1342 https://doi.org/10.18280/isi.280522 Lubis, A.R., Lase, Y.Y., Rahman, D.A., Witarsyah, D. (2023). Improving spell checker performance for Bahasa Indonesia using text preprocessing techniques with deep learning models. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1335-1342. https://doi.org/10.18280/isi.280522 205 Al-Soufi, R.A., Mohammed, N.Y. Exploring the Impact of Electronic Management on Mitigating Organizational Conflict: An Examination at the Northern Technical University electronic management, e-management, administrative management, organizational conflict, Northern Technical University (NTU), administrative leaders, technology in management 28, 5, 1343-1352https://doi.org/10.18280/isi.280523 Al-Soufi, R.A., Mohammed, N.Y. (2023). Exploring the impact of electronic management on mitigating organizational conflict: An examination at the Northern Technical University. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1343-1352. https://doi.org/10.18280/isi.280523 206Tawfeeq, M.A. Optimizing Cluster Head Selection in Mobile Ad Hoc Networks: A Connectivity Probability Approach Using Poisson Distribution and Residual Energy cluster head, connectivity probability, mobile ah hoc network, network performance, network stability, poisson distribution, residual energy. 28, 5, 1353-1359https://doi.org/10.18280/isi.280524 Tawfeeq, M.A. (2023). Optimizing cluster head selection in mobile Ad Hoc Networks: A connectivity probability approach using poisson distribution and residual energy. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1353-1359. https://doi.org/10.18280/isi.280524 207 Mbilong, P.M., Aarab, Z., Belouadha, F.Z., Kabbaj, M.I. Enhancing Fault Detection in CNC Machinery: A Deep Learning and Genetic Algorithm Approach industrial maintenance, long short-term memory, convolutional neural network, residual network, variational autoencoder, genetic algorithm, predictive maintenance, fault detection 28, 5, 1361-1375https://doi.org/10.18280/isi.280525 Mbilong, P.M., Aarab, Z., Belouadha, F.Z., Kabbaj, M.I. (2023). Enhancing fault detection in CNC machinery: A deep learning and genetic algorithm approach. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 5, p. 1361-1375. https://doi.org/10.18280/isi.280525 208 Sanamdikar, S.T., Shelke, M.V., Rothe, J.P. Enhanced Classification of Diabetic Retinopathy via Vessel Segmentation: A Deep Ensemble Learning Approach diabetic retinopathy, vessel segmentation, deep ensemble learning, computer vision, DRIVE dataset, Canny operator, blood vessel segmentation 28, 5, 1377-1386https://doi.org/10.18280/isi.280526 Sanamdikar, S.T., Shelke, M.V., Rothe, J.P. (2023). Enhanced classification of diabetic retinopathy via vessel segmentation: A deep ensemble learning approach. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1377-1386. https://doi.org/10.18280/isi.280526 209 Khrushch, N., Grytsyshen, D., Baranovska, T., Hrabchuk, I., Shevchuk, O. An Information Algorithm: Advancing Financial Intelligence Management for Economic Security information modeling, algorithm, system, security, intelligence, financial intelligence management 28, 5, 1387-1394https://doi.org/10.18280/isi.280527 Khrushch, N., Grytsyshen, D., Baranovska, T., Hrabchuk, I., Shevchuk, O. (2023). An information algorithm: Advancing financial intelligence management for Eeconomic security. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 5, p. 1387- 1394. https://doi.org/10.18280/isi.280527 210 Sanamdikar, S.T., Shelke, M.V., Rothe, J.P. An Advanced Hybrid Meta-Heuristic Model for Solar Power Generation Forecasting via Ensemble Deep Learning diabetic retinopathy, vessel segmentation, deep ensemble learning, computer vision, DRIVE dataset, Canny operator, blood vessel segmentation 28, 5, 1395-1407https://doi.org/10.18280/isi.280528 Sanamdikar, S.T., Shelke, M.V., Rothe, J.P. (2023). Enhanced classification of diabetic retinopathy via vessel segmentation: A deep ensemble learning approach. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1377-1386. https://doi.org/10.18280/isi.280526 211 Trabelsi, F.Z., Khtira, A., El Asri, B. Employing Data and Process Mining Techniques for Redundancy Detection and Analystics in Business Processes business process, modeling, process mining, similarity detection, data mining, process redundancy, business process optimization, cost reduction 28, 5, 1409-1421https://doi.org/10.18280/isi.280529 Trabelsi, F.Z., Khtira, A., El Asri, B. (2023). Employing data and process mining techniques for redundancy detection and analystics in business processes. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1409-1421. https://doi.org/10.18280/isi.280529 212 Widiantoro, A.D., Mustafid, M., Sanjaya, R. Leveraging Latent Dirichlet Allocation for Feature Extraction in User Comments: Enhancements to User- Centered Design in Indonesian Financial Technology Latent Dirichlet Allocation (LDA), feature extraction, Financial Technology (FinTech), User-Centered Design (UCeD), topic modelling 28, 5, 1423-1433https://doi.org/10.18280/isi.280530 Widiantoro, A.D., Mustafid, M., Sanjaya, R. (2023). Leveraging Latent Dirichlet Allocation for feature extraction in user comments: Enhancements to User-Centered Design in Indonesian Financial Technology. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 5, p. 1423-1433. https://doi.org/10.18280/isi.280530 213 Herrouz, A., Djoudi, M., Degha, H.E., Boukanoun, B. An Autonomous Multi-Agent System for Customized Scientific Literature Recommendation: A Tool for Researchers and Students multi-agent system, ontology, personalized information filtering, recommendation system, scientific paper, search engine, usability, user interface 28, 4, 799-814 https://doi.org/10.18280/isi.280401 Herrouz, A., Djoudi, M., Degha, H.E., Boukanoun, B. (2023). An autonomous multi-agent system for customized scientific literature recommendation: A tool for researchers and students. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 799-814. https://doi.org/10.18280/isi.280401 214 Okokpujie, K., Okokpujie, I.P., Subair, R.E., Simonyan, E.O., Akingunsoye, A.V. Designing an Adaptive Age-Invariant Face Recognition System for Enhanced Security in Smart Urban Environments biometric, smart city, FG-NET ad, Age Invariant Face Recognition (AIFR), surveillance cameras, convolutional neutral network, data augmentation 28, 4, 815-822 https://doi.org/10.18280/isi.280402 Okokpujie, K., Okokpujie, I.P., Subair, R.E., Simonyan, E.O., Akingunsoye, A.V. (2023). Designing an adaptive Age- Invariant Face recognition system for enhanced security in smart urban environments. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 4, p. 815-822. https://doi.org/10.18280/isi.280402 215 Sugiharto, W.H., Susanto, H., Prasetijo, A.B. Real-Time Water Quality Assessment via IoT: Monitoring pH, TDS, Temperature, and Turbidity water quality assessment, Internet of Things (IoT), wireless sensor networks, integrated sensor systems 28, 4, 823-831 https://doi.org/10.18280/isi.280403 Sugiharto, W.H., Susanto, H., Prasetijo, A.B. (2023). Real- time water quality assessment via IoT: Monitoring pH, TDS, temperature, and turbidity. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 4, p. 823-831. https://doi.org/10.18280/isi.280403 216 Bouhaddour, S., Saadi, C., Bouabdallaoui, I., Sbihi, M., Guerouate, F. A Novel Hybrid Approach for Daily Tourism Arrival Forecasting: The PROPHET-Bayesian Gaussian Process- Forward Neural Network Model Bayesian Gaussian process, COVID-19, Forward Neural Network, forecasting, Hawaii, PROPHET, tourism arrivals 28, 4, 833-842 https://doi.org/10.18280/isi.280404 Bouhaddour, S., Saadi, C., Bouabdallaoui, I., Sbihi, M., Guerouate, F. (2023). A novel hybrid approach for daily tourism arrival forecasting: The PROPHET-Bayesian Gaussian Process-Forward Neural Network model. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 4, p. 833-842. https://doi.org/10.18280/isi.280404 217Supase, S.S., Pansare, J.R. A Robust, Preference-Based Coordinator Election Algorithm for Distributed Systems distributed system, peer-to-peer system, Fault-Tolerant Coordinator Election Algorithm (FTCEA), preference-based voting algorithm 28, 4, 843-851 https://doi.org/10.18280/isi.280405 Supase, S.S., Pansare, J.R. (2023). A robust, preference-based coordinator election algorithm for distributed systems. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 843- 851. https://doi.org/10.18280/isi.280405 218 Aradea, A., Rianto, R., Mubarok, H., Darmawan, I. Deep Learning-based Regional Plant Type Recommendation System for Enhancing Agricultural Productivity agricultural, deep learning, Convolutional Neural Network (CNN), recommender system, plant type, Adagrad optimizer 28, 4, 853-859 https://doi.org/10.18280/isi.280406 Aradea, A., Rianto, R., Mubarok, H., Darmawan, I. (2023). Deep learning-based regional plant type recommendation system for enhancing agricultural productivity. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 853-859. https://doi.org/10.18280/isi.280406 219Rao, B.M., Hussain, M.A. Feature Importance Analysis for Glucose Level Detection in Type 2 Diabetes Using Machine Learning type 2 diabetes, glucose levels detection, machine learning, physiological parameters, random forest classifier, performance metrics 28, 4, 861-867 https://doi.org/10.18280/isi.280407 Rao, B.M., Hussain, M.A. (2023). Feature importance analysis for glucose level detection in type 2 diabetes using machine learning. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 861-867. https://doi.org/10.18280/isi.280407 220 Rayavarapu, S.M., Prasanthi, T.S., Kumar, G.S., Rao, G.S., Singham, A. Employing Generative Networks for Synthetic Phonocardiogram and Electrocardiogram Signal Creation: A Privacy-Ensured Approach to Data Augmentation in Heart Diagnostics auscultation, data augmentation, electrocardiogram, generative networks, phonocardiogram, synthetic data generation 28, 4, 869-875https://doi.org/10.18280/isi.280408 Rayavarapu, S.M., Prasanthi, T.S., Kumar, G.S., Rao, G.S., Singham, A. (2023). Employing generative networks for synthetic phonocardiogram and electrocardiogram signal creation: A privacy-ensured approach to data augmentation in heart diagnostics. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 869-875. https://doi.org/10.18280/isi.280408 221 Kanawade, B., Surve, J., Khonde, S.R., Khedkar, S.P., Pansare, J.R., Patil, B., Pisal, S., Deshpande, A. Automated Human Recognition in Surveillance Systems: An Ensemble Learning Approach for Enhanced Face Recognition face recognition surveillance system, face recognition & verification, ensemble learning, FaceNet, FaceNet-512, VGGFace, Dlib, ArcFace 28, 4, 877-885 https://doi.org/10.18280/isi.280409 Kanawade, B., Surve, J., Khonde, S.R., Khedkar, S.P., Pansare, J.R., Patil, B., Pisal, S., Deshpande, A. (2023). Automated human recognition in surveillance systems: An ensemble learning approach for enhanced face recognition. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 877-885. https://doi.org/10.18280/isi.280409 222 Asqolani, I.A., Setiawan, E.B. Hybrid Deep Learning Approach and Word2Vec Feature Expansion for Cyberbullying Detection on Indonesian Twitter cyberbullying detection, hybrid deep learning, feature expansion, Word2Vec 28, 4, 887-895 https://doi.org/10.18280/isi.280410 Asqolani, I.A., Setiawan, E.B. (2023). Hybrid deep learning approach and Word2Vec feature expansion for cyberbullying detection on Indonesian twitter. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 4, p. 887-895. https://doi.org/10.18280/isi.280410 223 Aza-Espinosa, M.J., Herrera- Granda, E.P., Ibarra-Rosero, M. DeepBrucel: A Deep Learning Approach for Automated Risk Detection of Brucellosis in Cattle Farms in Ecuador automatic brucellosis diagnosis, Neural Networks Brucellosis Diagnosis, multivariate diagnostic techniques 28, 4, 897-920 https://doi.org/10.18280/isi.280411 Aza-Espinosa, M.J., Herrera-Granda, E.P., Ibarra-Rosero, M. (2023). DeepBrucel: A deep learning approach for automated risk detection of Brucellosis in cattle farms in Ecuador. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 897- 920. https://doi.org/10.18280/isi.280411 224Abdulateef, A.T., Makki, S.A. Enhancing Indoor Navigation Accuracy with a Smartphone-Based Pedometer System Indoor Navigation Systems (INS), pedometer accelerometer orientation, Direction Cosine Matrix, step detection, Pedestrian Dead Reckoning (PDR), Root Mean Square Error, smartphone sensors, indoor positioning 28, 4, 921-930 https://doi.org/10.18280/isi.280412 Abdulateef, A.T., Makki, S.A. (2023). Enhancing indoor navigation accuracy with a smartphone-based pedometer system. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 921-930. https://doi.org/10.18280/isi.280412 225Almamoori, A.A., Bhaya, W.S. Hybrid Deep Learning Approach Utilizing RNN and LSTM for the Detection of DDoS Attacks Within the Bitcoin Ecosystem blockchain, cryptocurrency exchange, deep learning, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Conditional Table Generative Adversarial Network (CTGAN) 28, 4, 931-937 https://doi.org/10.18280/isi.280413 Almamoori, A.A., Bhaya, W.S. (2023). Hybrid deep learning approach utilizing RNN and LSTM for the detection of DDoS attacks within the Bitcoin ecosystem. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 931-937. https://doi.org/10.18280/isi.280413 226 Muhariya, A., Riadi, I., Prayudi, Y., Saputro, I.A. Utilizing K-Means Clustering for the Detection of Cyberbullying Within Instagram Comments social media, Instagram, cyberbullying, tf- idf, K-means, threshold, comments analysis 28, 4, 939-949 https://doi.org/10.18280/isi.280414 Muhariya, A., Riadi, I., Prayudi, Y., Saputro, I.A. (2023). Utilizing K-means clustering for the detection of cyberbullying within instagram comments. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 4, p. 939-949. https://doi.org/10.18280/isi.280414 227Karyonov, M. Accelerating Code Assembly: Exploiting Heterogeneous Computing Architectures for Optimization computer technology, software development, informatics, digital technologies, typical block diagram, programming 28, 4, 951-958 https://doi.org/10.18280/isi.280415 Karyonov, M. (2023). Accelerating code assembly: Exploiting heterogeneous computing architectures for optimization. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 951- 958. https://doi.org/10.18280/isi.280415 228Khan, M.A.A., Kaidi, H.M. A Comprehensive Survey of Machine Learning Techniques in Next- Generation Wireless Networks and the Internet of Things Internet of Things (IoT), Machine Learning (ML), quality of service, deep learning, reinforcement learning, 5G and beyond, next-generation wireless networks 28, 4, 959-967 https://doi.org/10.18280/isi.280416 Khan, M.A.A., Kaidi, H.M. (2023). A comprehensive survey of machine learning techniques in next-generation wireless networks and the Internet of Things. IngĂ©nierie des SystĂšmes d âInformation, Vol. 28, No. 4, p. 959-967. https://doi.org/10.18280/isi.280416 229 Alazzam, F.A.F., Shakhatreh, H.J.M., Gharaibeh, Z.I.Y., Didiuk, I., Sylkin, O. Developing an Information Model for E-Commerce Platforms: A Study on Modern Socio-Economic Systems in the Context of Global Digitalization and Legal Compliance information, E-Commerce, platform, model, modern systems, digitalization, data analysis, user experience 28, 4, 969-974 https://doi.org/10.18280/isi.280417 Alazzam, F.A.F., Shakhatreh, H.J.M., Gharaibeh, Z.I.Y., Didiuk, I., Sylkin, O. (2023). Developing an information model for E-Commerce platforms: A study on modern socio-economic systems in the context of global digitalization and legal compliance. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 969-974. https://doi.org/10.18280/isi.280417 230 AlTuraif, R.K., AlSanad, D.S., AlSharifi, N.F., Almuaili, A.A. Exploring the Catalysts and Components of Gamification in Enterprise: A Systematic Literature Review literature review, gamification, employee engagement, customer experience, gamification drivers, gamification elements 28, 4, 975-992 https://doi.org/10.18280/isi.280418 AlTuraif, R.K., AlSanad, D.S., AlSharifi, N.F., Almuaili, A.A. (2023). Exploring the catalysts and components of gamification in enterprise: A systematic literature review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 975-992. https://doi.org/10.18280/isi.280418 231 Alimi, S., Kuyoro, A.O., Eze, M.O., Akande, O. Utilizing Deep Learning and SVM Models for Schizophrenia Detection and Symptom Severity Estimation Through Structural MRI schizophrenia, detection, severity, support vector, deep learning, Magnetic Resonance Imaging (MRI), regression 28, 4, 993-1002 https://doi.org/10.18280/isi.280419 Alimi, S., Kuyoro, A.O., Eze, M.O., Akande, O. (2023). Utilizing deep learning and SVM models for schizophrenia detection and symptom severity estimation through structural MRI, IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 993-1002. https://doi.org/10.18280/isi.280419 232 Yassen, M.S., Abdulrazzq, R.A., Mohammed, A.B. Employing Hybrid ANOVA-RFE with Machine and Deep Learning Models for Enhanced IoT and IIoT Attack Detection and Classification attack detection, Internet of Things (IoT) security, feature selection, machine learning, deep learning 28, 4, 1003-1012 https://doi.org/10.18280/isi.280420 Yassen, M.S., Abdulrazzq, R.A., Mohammed, A.B. (2023). Employing hybrid ANOVA-RFE with machine and deep learning models for enhanced IoT and IIoT attack detection and classification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 1003-1012. https://doi.org/10.18280/isi.280420 233 Veesam, V.S., Ravichandran, S., Gatram, R.M.B. Deep Learning-Based Prediction of Age and Gender from Facial Images automatic gender classification, computer vision, artificial intelligence, Deep Convolutional Neural Network (DCNN), face recognition, deep learning 28, 4, 1013-1018https://doi.org/10.18280/isi.280421 Veesam, V.S., Ravichandran, S., Gatram, R.M.B. (2023). Deep learning-based prediction of age and gender from facial images. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 1013-1018. https://doi.org/10.18280/isi.280421 234Shyam, D.N.M., Hussain, M.A. A Naive Bayes-Driven Mechanism for Mitigating Packet-Dropping Attacks in Autonomous Wireless Networks packet-dropping, malicious attacks, system faults, Intrusion Detection Systems (IDS), MANETs, and naive bayes 28, 4, 1019-1027 https://doi.org/10.18280/isi.280422 Shyam, D.N.M., Hussain, M.A. (2023). A naive bayes-driven mechanism for mitigating packet-dropping attacks in autonomous wireless networks. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 4, p. 1019-1027. https://doi.org/10.18280/isi.280422 235 Gandikota, H.P., Abirami, S., Kumar, M.S. An Enhanced Approach to Liver Disease Classification: Implementing Convolutional Neural Network with Attention Layer Gated Recurrent Unit Attention Layer Gated Recurrent Unit (AGRU), context vector, Convolutional Neural Network (CNN), energy vector normalization, and liver disease classification 28, 4, 1029-1037 https://doi.org/10.18280/isi.280423 Gandikota, H.P., Abirami, S., Kumar, M.S. (2023). An enhanced approach to liver disease classification: implementing convolutional neural network with attention layer gated recurrent unit. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 4, p. 1029-1037. https://doi.org/10.18280/isi.280423 236 Mansour, A.M.O., Obeidat, M.A.A., Abdallah, J.M.Y. A Multi-Agent Systems Approach for Optimized Biomedical Literature Search Multi-Agent Systems (MAS), literature search, recommender system 28, 4, 1039-1053 https://doi.org/10.18280/isi.280424 Mansour, A.M.O., Obeidat, M.A.A., Abdallah, J.M.Y. (2023). A multi-agent systems approach for optimized biomedical literature search. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 1039-1053. https://doi.org/10.18280/isi.280424 237 Haseeb, E.H., Kadhim, S.A., Mahmood, A.S. A Six-Dimensional Hyperchaotic Pseudorandom Sequence for Enhanced Voice Encryption voice encryption, hyperchaotic system, pseudo-random number sequence, Libri- Speech dataset, performance evaluation, speech security 28, 4, 1055-1062 https://doi.org/10.18280/isi.280425 Haseeb, E.H., Kadhim, S.A., Mahmood, A.S. (2023). A six- dimensional hyperchaotic pseudorandom sequence for enhanced voice encryption. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 4, p. 1055-1062. https://doi.org/10.18280/isi.280425 238 Reddy, N.V.R.S., Chitteti, C., Yesupadam, S., Desanamukula, V.S., Vellela, S.S., Bommagani, N.J. Enhanced Speckle Noise Reduction in Breast Cancer Ultrasound Imagery Using a Hybrid Deep Learning Model breast cancer, fundamental convolutional neural network ultrasound images, improved noise removal, speckle noise, Fundamental Convolutional Neural Network (FCNN) 28, 4, 1063-1071 https://doi.org/10.18280/isi.280426 Reddy, N.V.R.S., Chitteti, C., Yesupadam, S., Desanamukula, V.S., Vellela, S.S., Bommagani, N.J. (2023). Enhanced speckle noise reduction in breast cancer ultrasound imagery using a hybrid deep learning model. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 4, p. 1063-1071. https://doi.org/10.18280/isi.280426 239 Sacharisa, S., Kartowisastro, I.H. Enhanced Spine Segmentation in Scoliosis X-ray Images via U-Net image segmentation, Region of Interest (ROI), scoliosis, U-Net 28, 4, 1073-1079 https://doi.org/10.18280/isi.280427 Sacharisa, S., Kartowisastro, I.H. (2023). Enhanced spine segmentation in scoliosis X-ray images via U-Net. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 1073-1079. https://doi.org/10.18280/isi.280427 240Atig, Y., Zahaf, A., Khiati, N. Temporal Dimensions of Quality in Knowledge Graph Evolution: A Comprehensive Review knowledge graph, data quality, Knowledge Graphs (KGs) evolution, temporal challenges, time representation 28, 4, 1081-1090 https://doi.org/10.18280/isi.280428 Atig, Y., Zahaf, A., Khiati, N. (2023). Temporal dimensions of quality in knowledge graph evolution: A comprehensive review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 1081-1090. https://doi.org/10.18280/isi.280428 241Kangala, V.K., Ramisetty, R.R. A Fractional Ebola Optimization Search Algorithm Approach for Enhanced Speaker Diarization speech signal, speaker diarization, Fractional Calculus (FC), deep learning, Ebola Optimization Search Algorithm (EOSA) 28, 4, 1091-1106 https://doi.org/10.18280/isi.280429 Kangala, V.K., Ramisetty, R.R. (2023). A fractional Ebola optimization search algorithm approach for enhanced speaker diarization. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 4, p. 1091-1106. https://doi.org/10.18280/isi.280429 242 Imaduddin, H., Kusumaningtias, L.A., A'la, F.Y. Application of LSTM and GloVe Word Embedding for Hate Speech Detection in Indonesian Twitter Data deep learning, GloVe, hate speech, Long Short-Term Memory (LSTM), Natural Language Processing (NLP), twitter 28, 4, 1107-1112 https://doi.org/10.18280/isi.280430 Imaduddin, H., Kusumaningtias, L.A., A'la, F.Y. (2023). Application of LSTM and GloVe word embedding for hate speech detection in Indonesian twitter data. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 28, No. 4, p. 1107-1112. https://doi.org/10.18280/isi.280430 243 Esoso, A.A., Ikumapayi, O.M., Jen, T.C., Akinlabi, E.T. Exploring Machine Learning Tools for Enhancing Additive Manufacturing: A Comparative Study additive manufacturing, machine learning, artificial intelligence, algorithms, computer vision, 3D modeling 28, 3, 535-544https://doi.org/10.18280/isi.280301 Esoso, A.A., Ikumapayi, O.M., Jen, T.C., Akinlabi, E.T. (2023). Exploring machine learning tools for enhancing additive manufacturing: A comparative study. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 535-544. https://doi.org/10.18280/isi.280301 244 Muzakir, A., Adi, K., Kusumaningrum, R. Advancements in Semantic Expansion Techniques for Short Text Classification and Hate Speech Detection Indonesia hate speech detection, semantic expansion, semantic similarity, short text expansion, text classification 28, 3, 545-556 https://doi.org/10.18280/isi.280302 Muzakir, A., Adi, K., Kusumaningrum, R. (2023). Advancements in semantic expansion techniques for short text classification and hate speech detection. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 3, p. 545-556. https://doi.org/10.18280/isi.280302 245 Gueddoudj, E.Y., Chikh, A., Attia, A. Os-ETL: A High-Efficiency, Open- Scala Solution for Integrating Heterogeneous Data in Large-Scale Data Warehousing ETL, spark, big data, RDF, partitioning, data warehouse, polystore, scalability 28, 3, 557-565https://doi.org/10.18280/isi.280303 Gueddoudj, E.Y., Chikh, A., Attia, A. (2023). Os-ETL: A high-efficiency, Open-Scala solution for integrating heterogeneous data in large-scale data warehousing. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 557-565. https://doi.org/10.18280/isi.280303 246 Rashmi, V., Mohan, C.C., Bhavani, V., Anuradha, Y., Kumar, L.K., Sowjanya, B., Kumar, K.S., Rao, K.K., Pallikonda, A.K. Experimental Investigations to Fault Reduction System for Software Applications fault, AGA, test case, metrics, dependence model 28, 3, 567-573 https://doi.org/10.18280/isi.280304 Rashmi, V., Mohan, C.C., Bhavani, V., Anuradha, Y., Kumar, L.K., Sowjanya, B., Kumar, K.S., Rao, K.K., Pallikonda, A.K. (2023). Experimental investigations to fault reduction system for software applications. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 567-573. https://doi.org/10.18280/isi.280304 247 Arifin, M., Widowati, W., Farikhin, F. Optimization of Hyperparameters in Machine Learning for Enhancing Predictions of Student Academic Performance gradient boosting regression trees, grid search, hyperparameter, regression, student performance 28, 3, 575-582 https://doi.org/10.18280/isi.280305 Arifin, M., Widowati, W., Farikhin, F. (2023). Optimization of hyperparameters in machine learning for enhancing predictions of student academic performance. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 575-582. https://doi.org/10.18280/isi.280305 248 Mhmood, Z.S., Nasret, A.N., Noori, A.B., Mohammed, A.B. Neural Network-Directed Detection and Localization of Faults in Railway Track Circuits: An Application of Dempster- Shafer Theory Dempster-Shafer theory, pattern recognition tasks, evidence theory, railway traffic security 28, 3, 583-593https://doi.org/10.18280/isi.280306 Mhmood, Z.S., Nasret, A.N., Noori, A.B., Mohammed, A.B. (2023). Neural network-directed detection and localization of faults in railway track circuits: An application of Dempster- Shafer theory. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 583-593. https://doi.org/10.18280/isi.280306 249 Todoshchuk, A., Motorniuk, U., Skliaruk, T., Oliinyk, I., Kornieieva, T. Modelling Information Systems for Personnel Management: Navigating Economic Security in the Transition to Industry 5.0 engineering, information systems, security, modeling, management, Industry 5.0 28, 3, 595-601 https://doi.org/10.18280/isi.280307 Todoshchuk, A., Motorniuk, U., Skliaruk, T., Oliinyk, I., Kornieieva, T. (2023). Modelling information systems for personnel management: Navigating economic security in the transition to Industry 5.0. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 595-601. https://doi.org/10.18280/isi.280307 250 Shkvyr, O., Dudchak, H., Kazakova, N., Polianovska, O., Sivak, N. Mathematical Modeling of Information Technology Integration in Digital Education: A Regional Perspective mathematical modelling, information technologies, educational process, digitalization, mathematical science 28, 3, 603-610https://doi.org/10.18280/isi.280308 Shkvyr, O., Dudchak, H., Kazakova, N., Polianovska, O., Sivak, N. (2023). Mathematical modeling of information technology integration in digital education: A regional perspective. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 603-610. https://doi.org/10.18280/isi.280308 251 Yahiaoui, Y., Bourouis, A., Al- Dujaili, A.Q., Abdulkareem, A.I., Agboola, O.O., Okagbue, H.I., Adedotun, A.F., Humaidi, A.J., Imaga, O.F., Odekina, O.G. A Comprehensive Context-Free Grammar for the Arabic Language: Including Non-Fundamentalist Phrases Arabic language processing, formal grammar, Subsumption Hierarchical Attribute, syntactic roles, CGF 28, 3, 611-619https://doi.org/10.18280/isi.280309 Yahiaoui, Y., Bourouis, A., Al-Dujaili, A.Q., Abdulkareem, A.I., Agboola, O.O., Okagbue, H.I., Adedotun, A.F., Humaidi, A.J., Imaga, O.F., Odekina, O.G. (2023). A comprehensive context-free grammar for the Arabic language: Including non- fundamentalist phrases. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 611-619. https://doi.org/10.18280/isi.280309 252 Kasmi, M., Aman, A., Asriany, A., Angriawan, R., Karma, K., Radi, A., Ilham, I., Yuliastuti, H., Sulkifli, S. Predictive Analysis of the Ornamental Angelfish Export Market Demand: An Application of the Least Square Method accuracy assessment, demand prediction, Least Square Method, ornamental angelfish 28, 3, 621-631https://doi.org/10.18280/isi.280310 Kasmi, M., Aman, A., Asriany, A., Angriawan, R., Karma, K., Radi, A., Ilham, I., Yuliastuti, H., Sulkifli, S. (2023). Predictive analysis of the ornamental angelfish export market demand: An application of the least square method. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 621-631. https://doi.org/10.18280/isi.280310 253Jo, B.J., Kim, S.K., Kim, S. Enhancing Virtual and Augmented Reality Interactions with a MediaPipe- Based Hand Gesture Recognition User Interface virtual reality, augmented reality, gesture classification, MediaPipe, user interface 28, 3, 633-638https://doi.org/10.18280/isi.280311 Jo, B.J., Kim, S.K., Kim, S. (2023). Enhancing virtual and augmented reality interactions with a MediaPipe-based hand gesture recognition user interface. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 633-638. https://doi.org/10.18280/isi.280311 254Babu, P.R., Krishna, A.S. Deep Learning-Assisted SVMs for Efficacious Diagnosis of Tomato Leaf Diseases: A Comparative Study of GoogleNet, AlexNet, and ResNet-50 pre-trained CNN, GoogleNet, AlexNet, ResNet-50, support vector machine, combined deep features, deep learning model, tomato leaf diseases 28, 3, 639-645https://doi.org/10.18280/isi.280312 Babu, P.R., Krishna, A.S. (2023). Deep learning-assisted SVMs for efficacious diagnosis of tomato leaf diseases: A comparative study of GoogleNet, AlexNet, and ResNet-50. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 639- 645. https://doi.org/10.18280/isi.280312 255 Farchi, C., Farchi, F., Touzi, B., Mousrij, A. A Sustainable Performance Assessment System for Road Freight Transport Based on Artificial Neural Networks ANN, machine learning, sustainable performance, performance assessment 28, 3, 647-653https://doi.org/10.18280/isi.280313 Farchi, C., Farchi, F., Touzi, B., Mousrij, A. (2023). A sustainable performance assessment system for road freight transport based on artificial neural networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 647-653. https://doi.org/10.18280/isi.280313 256 Tokpayev, K., Bedelbayev, A., Iskendirova, A. Handling HTTP Flood Attacks in High- Load Applications Using Akka Actors Model DDoS attacks, microservice systems, Scala functional language, computing hardware, service-oriented asynchronous programming 28, 3, 655-662https://doi.org/10.18280/isi.280314 Tokpayev, K., Bedelbayev, A., Iskendirova, A. (2023). Handling HTTP flood attacks in high-load applications using Akka Actors model. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 655-662. https://doi.org/10.18280/isi.280314 257 Naik, N.K., Sethy, P.K., Devi, A.G., Behera, S.K. Hybrid Enhanced Featured AlexNet for Milled Rice Grain Identification AlexNet, deep learning, feature fusion, identification, milled rice 28, 3, 663-668https://doi.org/10.18280/isi.280315 Naik, N.K., Sethy, P.K., Devi, A.G., Behera, S.K. (2023). Hybrid enhanced featured AlexNet for milled rice grain identification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 663-668. https://doi.org/10.18280/isi.280315 258 Muhamad, W., Nugroho, H., Widaningsih, S., Hendriyanto, R. Designing a Public API-Based Order Delivery Service System for the Food and Beverage Industry public API, delivery service, F&B industry, service system 28, 3, 669-675https://doi.org/10.18280/isi.280316 Muhamad, W., Nugroho, H., Widaningsih, S., Hendriyanto, R. (2023). Designing a public API-based order delivery service system for the food and beverage industry. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 3, p. 669-675. https://doi.org/10.18280/isi.280316 259 Subbarayudu, Y., Sureshbabu, A. A Distributed Densely Connected Convolutional Network Approach for Enhanced Recognition of Health- Related Topics: A Societal Analysis Case Study NLTK, early detection, melanoma, skin cancer 28, 3, 677-684 https://doi.org/10.18280/isi.280317 Subbarayudu, Y., Sureshbabu, A. (2023). A distributed densely connected convolutional network approach for enhanced recognition of health-related topics: A societal analysis case study. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 677-684. https://doi.org/10.18280/isi.280317 260 Hussien, S.A.A., Abed, A.A. Real-Time Person Re-Identification Using Omni-Scale Feature Learning Network and Yolov5: A Comparative Study Person Re-Id, OSNet, Yolov5, MARS, custom-created dataset 28, 3, 685-691https://doi.org/10.18280/isi.280318 Hussien, S.A.A., Abed, A.A. (2023). Real-time person re- identification using omni-scale feature learning network and Yolov5: A comparative study. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 685-691. https://doi.org/10.18280/isi.280318 261 Meshram, V., Patil, K., Meshram, V. Evaluation of Top Pretrained Models Using Transfer Learning on Banknote Dataset with Quality Parameter banknote classification, CNN, computer vision, deep learning, efficiency, machine learning classification, pretrained models 28, 3, 693-701 https://doi.org/10.18280/isi.280319 Meshram, V., Patil, K., Meshram, V. (2023). Evaluation of top pretrained models using transfer learning on banknote dataset with quality parameter. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 693-701. https://doi.org/10.18280/isi.280319 262Jafar, Z., Hamad, A.H. Performance Evaluation of a Multi Organizations Secure Internet of Vehicles Based on Hyperledger Fabric Blockchain Platform IoV, blockchain technology, Hyperledger fabric platform, Hyperledger caliper, multi organizations 28, 3, 703-709 https://doi.org/10.18280/isi.280320 Jafar, Z., Hamad, A.H. (2023). Performance evaluation of a multi organizations secure internet of vehicles based on hyperledger fabric blockchain platform. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 3, p. 703-709. https://doi.org/10.18280/isi.280320 263 Ritzkal, R., Kodarsyah, Amalia, P.P., Mahmud, W., Hendrawan, A.H., Prakoso, B.A., Riawan, I. Security Vulnerability Analysis and Recommendations for Open Media Vault Cloud Server on Raspberry Pi network security, vulnerability, port, Nmap, Nessus 28, 3, 711-716https://doi.org/10.18280/isi.280321 Ritzkal, R., Kodarsyah, Amalia, P.P., Mahmud, W., Hendrawan, A.H., Prakoso, B.A., Riawan, I. (2023). Security vulnerability analysis and recommendations for Open Media Vault cloud server on Raspberry Pi. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 711-716. https://doi.org/10.18280/isi.280321 264 SenaĂŻ, B., Rahal, S.A.H., Khiat, S. Evaluative Study of Machine Learning Classifiers in Predicting Heart Failure: A Focus on Imbalanced Datasets CVD, classification techniques, heart failure prediction, relevant features, SMOTE 28, 3, 717-724 https://doi.org/10.18280/isi.280322 Ravulapalli, L.T., Paladugu, R.K., Likki, V.K.R., Mothukuri, R., Mukkapati, N., Kilaru, S. (2023). Evaluative study of machine learning classifiers in predicting heart failure: A focus on imbalanced datasets. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 717-724. https://doi.org/10.18280/isi.280322 265 SenaĂŻ, B., Rahal, S.A.H., Khiat, S. An Optimized Hybrid Model of Convolutional Neural Networks and eXtreme Gradient Boosting for Enhanced Mammographic Tumor Classification image mining, medical image classification, machine learning, Xgboost, Convolutional Neural Networks, Softmax, mammographic 28, 3, 725-736https://doi.org/10.18280/isi.280323 SenaĂŻ, B., Rahal, S.A.H., Khiat, S. (2023). An optimized hybrid model of Convolutional Neural Networks and eXtreme gradient boosting for enhanced mammographic tumor classification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 725-736. https://doi.org/10.18280/isi.280323 266 Begum, R., Kumar, T.P., Rao, M.R.N. Deep Convolutional Neural Networks for Diagnosis of Parkinsonâs Disease Using MRI Data Parkinsonâs Disease, magnetic resonance imaging, deep convolutional neural network, classification, ensemble classifier, image acquisition, feature extraction 28, 3, 737-743https://doi.org/10.18280/isi.280324 Begum, R., Kumar, T.P., Rao, M.R.N. (2023). Deep Convolutional Neural Networks for diagnosis of Parkinsonâs Disease using MRI data. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 737-743. https://doi.org/10.18280/isi.280324 267 Sahraoui, M., Mahmoudi, L., Salem, M. An Innovative Arabic Word Embedding Representation for Enhanced Sentiment Analysis sentiment analysis, roots, BOR, glove, word vector representation, machine learning, Arabic social media 28, 3, 745-750.https://doi.org/10.18280/isi.280325 Sahraoui, M., Mahmoudi, L., Salem, M. (2023). An innovative Arabic word embedding representation for enhanced sentiment analysis. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 745-750. https://doi.org/10.18280/isi.280325 268 Venkatesh, R.T., Chandrashekar, D.K., Rao, P.B.S., Sridhar, R., Rajanna, S. Systematic Approaches to Data Placement, Replication and Migration in Heterogeneous Edge-Cloud Computing Systems: A Comprehensive Literature Review data placement, data migration data replica, edge computing replication workload balancing 28, 3, 751-759https://doi.org/10.18280/isi.280326 Venkatesh, R.T., Chandrashekar, D.K., Rao, P.B.S., Sridhar, R., Rajanna, S. (2023). Systematic approaches to data placement, replication and migration in heterogeneous edge- cloud computing systems: A comprehensive literature review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 751-759. https://doi.org/10.18280/isi.280326 269Al-Tahar, I.A., Al-Shueli, A. An Enhanced Frequency Estimation Algorithm Using a Three-Point Spectral Interpolation Method interpolation methods, frequency estimation, frequency-domain analysis, FFT, FPGA, Jacobsen algorithm 28, 3, 761-766https://doi.org/10.18280/isi.280327 Al-Tahar, I.A., Al-Shueli, A. (2023). An enhanced frequency estimation algorithm using a three-point spectral interpolation method. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 761-766. https://doi.org/10.18280/isi.280327 270 Govindaraj, M., Kaliappan, S., Swaminathan, G. An Enhanced Outlier Detection Approach for Multidimensional Datasets Using a Synergistic Firefly and Grey Wolf Optimization-Based Method outlier detection, multivariate datasets, improved neural network, sun flower-based grey wolf optimization 28, 3,767-775https://doi.org/10.18280/isi.280328 Govindaraj, M., Kaliappan, S., Swaminathan, G. (2023). An enhanced outlier detection approach for multidimensional datasets using a synergistic firefly and grey wolf optimization- based method. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 767-775. https://doi.org/10.18280/isi.280328 271 Ohwo, O.B., Ayankoya, F.Y., Ajayi, O.F., Alao, D.O. Advancing DNS Performance Through an Adaptive Transport Layer Security Model (ad-TLSM) domain name system, adaptive security, quality of service, DNS security, security architecture, cybersecurity, performance issue 28, 3, 777-790https://doi.org/10.18280/isi.280329 Ohwo, O.B., Ayankoya, F.Y., Ajayi, O.F., Alao, D.O. (2023). Advancing DNS performance through an Adaptive Transport Layer Security Model (ad-TLSM). IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 3, p. 777-790. https://doi.org/10.18280/isi.280329 272Khare, V. Optic Disc Localization in Normal and Pathological Retinal Images Using Dictionary-Based Approach fundus images, morphological operation, least angle regression (LARS), optic disc (OD), diabetic retinopathy (DR) 28, 3, 791-797https://doi.org/10.18280/isi.280330 Khare, V. (2023). Optic disc localization in normal and pathological retinal images using dictionary-based approach. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 3, p. 791-797. https://doi.org/10.18280/isi.280330 273Abdelkader, B. A Novel Method for Refactoring UML Metamodel UML metamodel, refactoring, MDA, software artifacts, adaptation 28, 2, 263-274https://doi.org/10.18280/isi.280201 Abdelkader, B. (2023). A novel method for refactoring UML metamodel. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 263-274. https://doi.org/10.18280/isi.280201 274 Boutazart, Y., Zealouk, O., Satori, H., Affane Moundounga, A.R., Satori, K. Clustering for Moroccan Prefecture- Provinces and World Countries Based COVID-19 Dataset clustering technique, COVID-19, K-means algorithm, elbow and silhouette methods, dataset analysis 28, 2, 275-282 https://doi.org/10.18280/isi.280202 Boutazart, Y., Zealouk, O., Satori, H., Affane Moundounga, A.R., Satori, K. (2023). Clustering for Moroccan prefecture- provinces and world countries based COVID-19 dataset. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 275- 282. https://doi.org/10.18280/isi.280202 275 Saidi, I., Mahammed, N., Klouche, B., Bencherif, K. An Overview on Related Searches Recommendation recommender systems, entities recommendation, web search engines, knowledge graphs, usersâ context 28, 2, 283-289https://doi.org/10.18280/isi.280203 Saidi, I., Mahammed, N., Klouche, B., Bencherif, K. (2023). An overview on related searches recommendation. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 283-289. https://doi.org/10.18280/isi.280203 276 Siaho, D., Ghislain, P.K., Lambert, K.T., Ernest, K.K., Souleymane, O., Emmanuel, A.N. Modeling Artificial Neural Network of Insectâs Proliferation During Cocoa Beans Storage cocoa bean, grain, artificial neural network, insects, Akaike information criterion 28, 2, 291-298 https://doi.org/10.18280/isi.280204 Siaho, D., Ghislain, P.K., Lambert, K.T., Ernest, K.K., Souleymane, O., Emmanuel, A.N. (2023). Modeling artificial neural network of insectâs proliferation during cocoa beans storage. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 291-298. https://doi.org/10.18280/isi.280204 277 Kumar, J.P., Muppagowni, G.K., Kumar, J.P., Malla, S.J., Chandanapalli, S.B., Sandhya, E. Selection of Features Using Adaptive Tunicate Swarm Algorithm with Optimized Deep Learning Model for Thyroid Disease Classification thyroid disease, adaptive tunicate swarm optimization, Grey Wolf Optimizer, convolutional neural network, hyperthyroid, hypothyroid 28, 2, 299-308 https://doi.org/10.18280/isi.280205 Kumar, J.P., Muppagowni, G.K., Kumar, J.P., Malla, S.J., Chandanapalli, S.B., Sandhya, E. (2023). Selection of features using adaptive tunicate swarm algorithm with optimized deep learning model for thyroid disease classification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 299-308. https://doi.org/10.18280/isi.280205 278 Roy, S., Jeyabalan, J., Gochhait, S., Sugumaran, P., Gromiha, M.M. Metadata Analysis to Get Insight into Drug Resistant Ovarian Cancer ovarian cancer, drug resistance, gene set enrichment analysis, network, cell-cell adhesion, ERBB2 28, 2, 309-314https://doi.org/10.18280/isi.280206 Roy, S., Jeyabalan, J., Gochhait, S., Sugumaran, P., Gromiha, M.M. (2023). Metadata analysis to get insight into drug resistant ovarian cancer. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 309-314. https://doi.org/10.18280/isi.280206 279 Amghar, S., Cherdal, S., Mouline, S. A Schema Integration Approach for Big Data Analysis data integration, NoSQL systems, schema integration, schema matching 28, 2, 315-325 https://doi.org/10.18280/isi.280207 Amghar, S., Cherdal, S., Mouline, S. (2023). A schema integration approach for big data analysis. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 2, p. 315-325. https://doi.org/10.18280/isi.280207 280 Talai, Z., Kherici, N., Bahi, H. Comparative Study of CNN Structures for Arabic Speech Recognition convolutional neural network, Arabic speech recognition, AlexNet, GoogLeNet, ResNet 28, 2, 327-333https://doi.org/10.18280/isi.280208 Talai, Z., Kherici, N., Bahi, H. (2023). Comparative study of CNN structures for Arabic speech recognition. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 327-333. https://doi.org/10.18280/isi.280208 281 Alsabbagh, D.M.Z., Azeez, N.D. The Effect of Motivating and Inhibitory Factors on Using the Electronic Commerce by Adopting UTAUT2 and SQB Models electronic commerce, AUTAUT2, SQB, motivating factors, inhibitory factors, structure equation modeling (SEM) 28, 2, 335-350https://doi.org/10.18280/isi.280209 Alsabbagh, D.M.Z., Azeez, N.D. (2023). The effect of motivating and inhibitory factors on using the electronic commerce by adopting UTAUT2 and SQB models. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 335-350. https://doi.org/10.18280/isi.280209 282 Ritzkal, Sutriawan, Prakoso, B.A., Fanani, A.Z., Riawan, I., Fajri, H., Basuki, R.S., Alzami, F. Word Search with Trending Reviews on Twitter normalization, preprocessing, text mining Twitter 28, 2, 351-356https://doi.org/10.18280/isi.280210 Ritzkal, Sutriawan, Prakoso, B.A., Fanani, A.Z., Riawan, I., Fajri, H., Basuki, R.S., Alzami, F. (2023). Word search with trending reviews on Twitter. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 351-356. https://doi.org/10.18280/isi.280210 283 Khurana, R., Bhatia, M., Battan, M., Das, N.N., Memoria, M. A Proposed Framework for Identity Verification in Passport Management Using Model Scaling and Semantic Similarity efficient net, face detection, image similarity, neural networks, passport management 28, 2, 357-365https://doi.org/10.18280/isi.280211 Khurana, R., Bhatia, M., Battan, M., Das, N.N., Memoria, M. (2023). A proposed framework for identity verification in passport management using model scaling and semantic similarity. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 357-365. https://doi.org/10.18280/isi.280211 284 Shaimerdenov, D., Zakirova, A., Akhayeva, Z., Karymsakova, A., Niyazova, R. Remote Sensing Technique to Recognise Physical Characteristics of Water Bodies of the Republic of Kazakhstan water resources, satellite bathymetry, earth remote sensing technology, monitoring of the state of water bodies 28, 2, 367-373https://doi.org/10.18280/isi.280212 Shaimerdenov, D., Zakirova, A., Akhayeva, Z., Karymsakova, A., Niyazova, R. (2023). Remote sensing technique to recognise physical characteristics of water bodies of the Republic of Kazakhstan. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 367-373. https://doi.org/10.18280/isi.280212 285 Elvira, M., Kartowagiran, B., Retnawati, H., Sainuddin, S., Rohaeti, E. Bias Geographic Location of Math National Examination in Junior High School: Analysis of Differential Item Functioning (DIF) Differential item function, national examinations, bias geographic 28, 2, 375-387https://doi.org/10.18280/isi.280213 Elvira, M., Kartowagiran, B., Retnawati, H., Sainuddin, S., Rohaeti, E. (2023). Bias geographic location of math national examination in junior high school: Analysis of Differential Item Functioning (DIF). IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 375-387. https://doi.org/10.18280/isi.280213 286Liu, H.X., Lee, K.T., Bai, S. Exploring Motivations for TikTok Usage and Impact Factors of TikTokers â Continuance Intention TikTok, uses and gratifications theory, technology acceptance model, motivations, continuance intention 28, 2, 389-400https://doi.org/10.18280/isi.280214 Liu, H.X., Lee, K.T., Bai, S. (2023). Exploring motivations for TikTok usage and impact factors of TikTokersâ continuance intention. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 389-400. https://doi.org/10.18280/isi.280214 287 Wahul, R.M., Sonawane, S., Kale, A.P., Lambture, B.D., Dudhedia, M.A. Smart Farm: Agriculture System for Farmers Using IoT CNN algorithm, IoT in agriculture, Smart Farm, THR (Temperature, Humidity, Rainfall) 28, 2, 401-407https://doi.org/10.18280/isi.280215 Wahul, R.M., Sonawane, S., Kale, A.P., Lambture, B.D., Dudhedia, M.A. (2023). Smart Farm: Agriculture system for farmers using IoT. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 401-407. https://doi.org/10.18280/isi.280215 288 Zulaeha, I., Subyantoro, Hasanudin, C., Pristiwati, R. Developing Teaching Materials of Academic Writing Using Mobile Learning development, teaching material, academic writing skill, mobile learning 28, 2, 409-418https://doi.org/10.18280/isi.280216 Zulaeha, I., Subyantoro, Hasanudin, C., Pristiwati, R. (2023). Developing teaching materials of academic writing using mobile learning. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 409-418. https://doi.org/10.18280/isi.280216 289Bangare, P.S., Patil, K.P. Internet of Things Based Secured Data Transmission Protocol for Agriculture Application communication system, IOT, security, MQTT, agriculture, SMO, AES 28, 2, 419-424 https://doi.org/10.18280/isi.280217 Bangare, P.S., Patil, K.P. (2023). Internet of things based secured data transmission protocol for agriculture application. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 419-424. https://doi.org/10.18280/isi.280217 290 Aman, A., Kasmi, M., Ratnawati, Iskandar, A., Zam, W., Mustika, N., Laswi, A.S., Hidayati, W., Akbar Pandaka, A.U. The Virtual Tour Panorama as a Guide and Education Media of the Historic Objects at Datu Luwu Palace historical objects, Datu Luwu Palace, tour guide, virtual tour 28, 2, 425-432https://doi.org/10.18280/isi.280218 Aman, A., Kasmi, M., Ratnawati, Iskandar, A., Zam, W., Mustika, N., Laswi, A.S., Hidayati, W., Akbar Pandaka, A.U. (2023). The virtual tour panorama as a guide and education media of the historic objects at Datu Luwu Palace. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 425-432. https://doi.org/10.18280/isi.280218 291 Macherla, H., Kotapati, G., Sunitha, M.T., Chittipireddy, K.R., Attuluri, B., Vatambeti, R. Deep Learning Framework-Based Chaotic Hunger Games Search Optimization Algorithm for Prediction of Air Quality Index national air monitoring program, air quality index, long short-term memory, chaotic hunger games search, Chennai 28, 2, 433-441 https://doi.org/10.18280/isi.280219 Macherla, H., Kotapati, G., Sunitha, M.T., Chittipireddy, K.R., Attuluri, B., Vatambeti, R. (2023). Deep learning framework- based chaotic hunger games search optimization algorithm for prediction of air quality index. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 433-441. https://doi.org/10.18280/isi.280219 292 Yergaliyev, A., Sharipbay, A., Baibulekova, L. Spontaneous Speech and Its Features Are Taken into Account When Creating Recognition Programs alternative transcription, multilingual corpus, linguistic support of information systems, automatic recognition systems, speech identification, corpus linguistics 28, 2, 443-450 https://doi.org/10.18280/isi.280220 Yergaliyev, A., Sharipbay, A., Baibulekova, L. (2023). Spontaneous speech and its features are taken into account when creating recognition programs. IngĂ©nierie des SystĂšmes d âInformation, Vol. 28, No. 2, p. 443-450. https://doi.org/10.18280/isi.280220 293 Fadlil, A., Herman, Praseptian M, D. Single Imputation Using Statistics- Based and K Nearest Neighbor Methods for Numerical Datasets imputation, kNNI, missing value, numerical dataset, statistic-based 28, 2, 451-459https://doi.org/10.18280/isi.280221 Fadlil, A., Herman, Praseptian M, D. (2023). Single imputation using statistics-based and k nearest neighbor methods for numerical datasets. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 451-459. https://doi.org/10.18280/isi.280221 294 Mummigatti, K.V.K., Chandramouli, S.M., Ramachandra, D.H. Deep Neural Network System Using Ontology to Recommend Organic Fertilizers for a Sustainable Agriculture ontology, deep learning, knowledge base, recommender system 28, 2, 461-467 https://doi.org/10.18280/isi.280222 Mummigatti, K.V.K., Chandramouli, S.M., Ramachandra, D.H. (2023). Deep neural network system using ontology to recommend organic fertilizers for a sustainable agriculture. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 461- 467. https://doi.org/10.18280/isi.280222 295 Istiqomah, Rizal, A., Atmaja, R.D. Individual Recognition Based on Gait Using Multi-Distance Signal Level Difference Sample Entropy individual recognition, gait, inertia sensor, MSLD entropy 28, 2, 469-474https://doi.org/10.18280/isi.280223 Istiqomah, Rizal, A., Atmaja, R.D. (2023). Individual recognition based on gait using multi-distance signal level difference sample entropy. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 469-474. https://doi.org/10.18280/isi.280223 296Khare, V., Kumari, S. Detection of Brain Tumor Based on Multimodality Brain Image Fusion Using Dual Branch Convolution Neural Network computed tomography scan (CT-scan), magnetic resonance imaging (MRI), brain tumor, convolutional neural network (CNN), fusion 28, 2, 475-482https://doi.org/10.18280/isi.280224 Khare, V., Kumari, S. (2023). Detection of brain tumor based on multimodality brain image fusion using dual branch convolution neural network. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 475-482. https://doi.org/10.18280/isi.280224 297 Sukamto, Hadiyanto, Kurnianingsih. A Hybrid Resampling Method with K- Nearest Neighbour (FHR-KNN) for Imbalanced Preeclampsia Dataset FHR-KNN, hybrid, imbalance, preeclampsia, resampling 28, 2, 483-490https://doi.org/10.18280/isi.280225 Sukamto, Hadiyanto, Kurnianingsih. (2023). A hybrid resampling method with K-Nearest Neighbour (FHR-KNN) for imbalanced preeclampsia dataset. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 483-490. https://doi.org/10.18280/isi.280225 298 Vatsavai, L.S.K., Mantena, K.S.V. Camshift Algorithm with GOA-Neural Network for Drone Object Tracking object detection, tracking system, Camshift algorithm, neural network, AU-AIR Drones 28, 2, 491-498https://doi.org/10.18280/isi.280226 Vatsavai, L.S.K., Mantena, K.S.V. (2023). Camshift algorithm with GOA-neural network for drone object tracking. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 491-498. https://doi.org/10.18280/isi.280226 299Kadhum, O.I., Hamad, A.H. Performance Evaluation of Multi- Organization E-Government Based on Hyperledger Fabric Blockchain Platform blockchain, hyperledger fabric, hyperledger caliper, performance evaluation, e- government, multi-organization 28, 2, 499-507https://doi.org/10.18280/isi.280227 Kadhum, O.I., Hamad, A.H. (2023). Performance evaluation of multi-organization e-government based on hyperledger fabric blockchain platform. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 499-507. https://doi.org/10.18280/isi.280227 300 Killi, C.B.R., Balakrishnan, N., Rao, C.S. Deep Fake Image Classification Using VGG-19 Model fake images, CNN, VGG19, deep learning28, 2, 509-515https://doi.org/10.18280/isi.280228 Killi, C.B.R., Balakrishnan, N., Rao, C.S. (2023). Deep fake image classification using VGG-19 model. IngĂ©nierie des SystĂš mes dâInformation, Vol. 28, No. 2, p. 509-515. https://doi.org/10.18280/isi.280228 301 Jain, A., Nandan, D., Meduri, P. Data Export and Optimization Technique in Connected Vehicle connected car, data compression, MQTT cloud, CAN DBC format file, Graphical User Interface (GUI) 28, 2, 517-525https://doi.org/10.18280/isi.280229 Jain, A., Nandan, D., Meduri, P. (2023). Data export and optimization technique in connected vehicle. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 2, p. 517-525. https://doi.org/10.18280/isi.280229 302Ravulaplli, L.T. A Novel Bi-LSTM Based Automatic Image Description Generation Bi-LSTM, image captioning, inception-v3, NMFO optimization 28, 2, 527-534https://doi.org/10.18280/isi.280230 Ravulaplli, L.T. (2023). A novel Bi-LSTM based automatic image description generation. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 2, p. 527-534. https://doi.org/10.18280/isi.280230 303 Harbouche, K., Khentout, C., Djoudi, M., Alti, A. Measuring Similarity of Educational Items Using Data on Learnersâ Performance and Behavioral Parameters: Application of New Models SCNN-Cosine and Fuzzy- Kappa Convolutional Neural Networks, cosine similarity, educational items, fuzzy logic, item-to-item similarity, kappa inter raters agreement, Siamese Neural Networks, latent trait 28, 1, 1-11https://doi.org/10.18280/isi.280101 Harbouche, K., Khentout, C., Djoudi, M., Alti, A. (2023). Measuring similarity of educational items using data on learnersâ performance and behavioral parameters: Application of new models SCNN-Cosine and Fuzzy-Kappa. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 1-11. https://doi.org/10.18280/isi.280101 304 Chellakh, H., Moussaoui, A., Attia, A., Akhtar, Z. MRI Brain Tumor Identification and Classification Using Deep Learning Techniques brain tumor detection, classification, deep learning, feature extraction 28, 1, 13-22 https://doi.org/10.18280/isi.280102 Chellakh, H., Moussaoui, A., Attia, A., Akhtar, Z. (2023). MRI brain tumor identification and classification using deep learning techniques. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 13-22. https://doi.org/10.18280/isi.280102 305 Lakshmi, D.S., Divya, A., Sreedevi, E., Kolagani, R., Gottumukkala, P., Muddana, A. A Study and Analysis on Pedestrian Detection and Tracking Through Rear- View Images TRIPP, rear-view, pedestrian detection and tracking, false alarm rate 28, 1, 23-30https://doi.org/10.18280/isi.280103 Lakshmi, D.S., Divya, A., Sreedevi, E., Kolagani, R., Gottumukkala, P., Muddana, A. (2023). A study and analysis on pedestrian detection and tracking through rear-view images. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 23- 30. https://doi.org/10.18280/isi.280103 306 Gbame, S.G., Brou, M.K., Saha, B.K. Efficient Criteria Based Method for Selection of Relevant Ontologies in Transport Domain criteria, relevant ontology, ontological layer, smart city, transport 28, 1, 31-40 https://doi.org/10.18280/isi.280104 Gbame, S.G., Brou, M.K., Saha, B.K. (2023). Efficient criteria based method for selection of relevant ontologies in transport domain. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 31-40. https://doi.org/10.18280/isi.280104 307 Kryshtanovych, M., Lyubomudrova, N., Bondar, H., Motornyy, V., Kuchmenko, V. An Intelligent Multi-Stage Model for Countering the Impact of Disinformation on the Cybersecurity System disinformation, cybersecurity, model, information, digitalization 28, 1, 41-47 https://doi.org/10.18280/isi.280105 Kryshtanovych, M., Lyubomudrova, N., Bondar, H., Motornyy, V., Kuchmenko, V. (2023). An intelligent multi-stage model for countering the impact of disinformation on the cybersecurity system. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 41-47. https://doi.org/10.18280/isi.280105 308Beghriche, A. An Adaptive Secure and Efficient Bio- Inspired Routing Protocol for Effective Cooperation in FANETs Artificial Immune System, dendritic cells, flying ad hoc networks, penguin search optimization algorithm, routing protocol, security threats, unmanned aerial vehicle 28, 1, 49-66https://doi.org/10.18280/isi.280106 Beghriche, A. (2023). An adaptive secure and efficient bio- inspired routing protocol for effective cooperation in FANETs. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 49- 66. https://doi.org/10.18280/isi.280106 309 Al-Harbi, O., Hamed, A., Alzoubi, M. A Deep Neural Network Optimized by a Genetic Algorithm to Improve Arabic Sentiment Classification sentiment classification, Arabic sentiment analysis, deep learning, genetic algorithm 28, 1, 67-75 https://doi.org/10.18280/isi.280107 Al-Harbi, O., Hamed, A., Alzoubi, M. (2023). A deep neural network optimized by a genetic algorithm to improve Arabic sentiment classification. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No.1, p. 67-75. https://doi.org/10.18280/isi.280107 310 Yemanov, V., Pasichnyk, V., Yevtushenko, I., Larin, S., Mykhailenko, O. Ranking Threats to Determine the Cost of Protecting Information in a Cybersecurity Environment information, cybersecurity, threats, security, ranking 28, 1, 77-84https://doi.org/10.18280/isi.280108 Yemanov, V., Pasichnyk, V., Yevtushenko, I., Larin, S., Mykhailenko, O. (2023). Ranking threats to determine the cost of protecting information in a cybersecurity environment. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 77-84. https://doi.org/10.18280/isi.280108 311 Liu, H.X., Lee, K.T., Feng, H., Bai, S. Exploring Impact Factors of Mobile Instant Messenger Usersâ Continuance Intention mobile instant messenger, continuance intention, theory of uses and gratifications, attitude, WeChat 28, 1, 85-96https://doi.org/10.18280/isi.280109 Liu, H.X., Lee, K.T., Feng, H., Bai, S. (2023). Exploring impact factors of mobile instant messenger usersâ continuance intention. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 85-96. https://doi.org/10.18280/isi.280109 312 Behaz, A., Moumen, H., Nouari, W. Trace Analysis of Educational Videos to Identify the Groups of Learners with Similar Profiles learning analytics, learner profile, educational data mining, clustering trace analysis 28, 1, 97-104https://doi.org/10.18280/isi.280110 Behaz, A., Moumen, H., Nouari, W. (2023). Trace analysis of educational videos to identify the groups of learners with similar profiles. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 97-104. https://doi.org/10.18280/isi.280110 313 Varadharajan, A.A., Vaddi, S.R., Ramasubramanian, K.G. Improved Diverse Gaussian HMM and SVM ML Technique for Sensor Fault Detection and Classification in Air Quality Monitoring System air quality, fault classification, fault detection, gaussian hidden markov model, internet of things, out of bounds, spike fault, support vector machine 28, 1, 105-111https://doi.org/10.18280/isi.280111 Varadharajan, A.A., Vaddi, S.R., Ramasubramanian, K.G. (2023). Improved diverse gaussian HMM and SVM ML technique for sensor fault detection and classification in air quality monitoring system. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 1, p. 105-111. https://doi.org/10.18280/isi.280111 314Soufi, O., Belouadha, F.Z. FSRSI: New Deep Learning-Based Approach for Super-Resolution of Multispectral Satellite Images remote sensing, multispectral satellite images, super-resolution, deep-learning, Network in Network, SISR, sentinel-2, multi-scale fusion 28, 1, 113-132https://doi.org/10.18280/isi.280112 Soufi, O., Belouadha, F.Z. (2023). FSRSI: New deep learning- based approach for super-resolution of multispectral satellite images. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 113-132. https://doi.org/10.18280/isi.280112 315 Saleem, J.B.M., Shanmugam, K. Pesticide Recommendation for Different Leaf Diseases and Related Pests Using Multi-Dimensional Feature Learning Deep Classifier leaf diseases, PDATFEGAN, MFL-DCNN, pesticide, fuzzy rule, rough set, intuitionistic fuzzy approximation space, recommendation system 28, 1, 133-140https://doi.org/10.18280/isi.280113 Saleem, J.B.M., Shanmugam, K. (2023). Pesticide recommendation for different leaf diseases and related pests using multi-dimensional feature learning deep classifier. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 133- 140. https://doi.org/10.18280/isi.280113 316 Zhukova, O., Mandragelia, V., Alieksieienko, T., Semenenko, A., Skibina, E. Digital Technologies for Introducing Gamification into the Education System in the Context of the Development of Industry 4.0 digital technologies, gamification, education system, Industry 4.0 28, 1, 141-147https://doi.org/10.18280/isi.280114 Zhukova, O., Mandragelia, V., Alieksieienko, T., Semenenko, A., Skibina, E. (2023). Digital technologies for introducing gamification into the education system in the context of the development of industry 4.0. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 1, p. 141-147. https://doi.org/10.18280/isi.280114 317 Rakesh, U., Ramya, V., Murugan, V.S. Classification, Collection, and Notification of Medical Waste Using IoT Based Smart Dust Bins biomedical waste, sensing unit and classifier, IR sensor, GOM, smart waste bin 28, 1, 149-154https://doi.org/10.18280/isi.280115 Rakesh, U., Ramya, V., Murugan, V.S. (2023). Classification, collection, and notification of medical waste using IoT based smart dust bins. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 149-154. https://doi.org/10.18280/isi.280115 318 Sudrajat, D., Purnamasari, A.I., Dikananda, A.R., Kurnia, D.A., Efendi, D.M. Hybrid Learning Predictions on Learning Quality Using Multiple Linear Regression hybrid learning, multiple linear regression, RMSE, COVID-19 28, 1, 155-160https://doi.org/10.18280/isi.280116 Sudrajat, D., Purnamasari, A.I., Dikananda, A.R., Kurnia, D.A., Efendi, D.M. (2023). Hybrid learning predictions on learning quality using multiple linear regression. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 155-160. https://doi.org/10.18280/isi.280116 319Khandekar, V.S., Shrinath, P. Ensemble Model for Multiclass Imbalanced Data Using Cluster Computing of Spark imbalance, Particle Swarm Optimization, SMOTE, spark, cluster computing, RDD, ensemble model, sampling 28, 1, 161-167 https://doi.org/10.18280/isi.280117 Khandekar, V.S., Shrinath, P. (2023). Ensemble model for multiclass imbalanced data using cluster computing of spark. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 161-167. https://doi.org/10.18280/isi.280117 320 Abd, R.G., Ibrahim, A.W.S., Noor, A.A. Facial Emotion Recognition Using HOG and Convolution Neural Network HOG, CNN, median filter, facial emotion recognition, face detection 28, 1, 169-174https://doi.org/10.18280/isi.280118 Abd, R.G., Ibrahim, A.W.S., Noor, A.A. (2023). Facial emotion recognition using HOG and convolution neural network. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 169-174. https://doi.org/10.18280/isi.280118 321 Ratha, A.K., Barpanda, N.K., Sethy, P.K., Behera, S.K. Papaya Fruit Maturity Estimation Using Wavelet and ConvNET Papaya grading, deep feature, parallel feature fusion, VGG16, SVM, Wavelet 28, 1, 175-181 https://doi.org/10.18280/isi.280119 Ratha, A.K., Barpanda, N.K., Sethy, P.K., Behera, S.K. (2023). Papaya fruit maturity estimation using Wavelet and ConvNET. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 175-181. https://doi.org/10.18280/isi.280119 322 Awad, H., Aboalganam, K., Hijazeen, O., Alhanatleh, H., Bakir, S.M.A., Altahrawi, M., Kilani, Y.M., Malahmeh, H.M. Investigation Study of the Cloud Supply Chain Management System contemporary organizations, supply chain management, cloud computing, cloud supply chain, eastern countries 28, 1, 183-188 https://doi.org/10.18280/isi.280120 Awad, H., Aboalganam, K., Hijazeen, O., Alhanatleh, H., Bakir, S.M.A., Altahrawi, M., Kilani, Y.M., Malahmeh, H.M. (2023). Investigation study of the cloud supply chain management system. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 183-188. https://doi.org/10.18280/isi.280120 323 Deo, A., Jaisinghani, R., Gupta, S., Khan, S.S., Soni, A., Gehlot, K. Stratified Advance Personalized Recommendation System Based on Deep Learning E-Commerce recommendation system, deep learning, transfer learning, cross domain analysis, user behavior analysis, user feedback analysis, re-ranking 28, 1, 189-196https://doi.org/10.18280/isi.280121 Deo, A., Jaisinghani, R., Gupta, S., Khan, S.S., Soni, A., Gehlot, K. (2023). Stratified advance personalized recommendation system based on deep learning. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 189-196. https://doi.org/10.18280/isi.280121 324 Mawardi, D.N., Budiningsih, C.A., Sugiman. Blended Learning Effect on Mathematical Skills: A Meta-Analysis Study mathematical skills, blended learning, meta-analysis 28, 1, 197-204 https://doi.org/10.18280/isi.280122 Mawardi, D.N., Budiningsih, C.A., Sugiman. (2023). Blended learning effect on mathematical skills: A meta-analysis study. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No.1, p. 197- 204. https://doi.org/10.18280/isi.280122 325 Murugesan, S., Kaliyamurthie, K.P. A Machine Learning Framework for Automatic Fake News Detection in Indian Tamil News Channels Indian news, fake news, NaĂŻve Bayes, Logistic Regression, LSTM, classifications 28, 1, 205-209https://doi.org/10.18280/isi.280123 Murugesan, S., Kaliyamurthie, K.P. (2023). A machine learning framework for automatic fake news detection in Indian Tamil news channels. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 205-209. https://doi.org/10.18280/isi.280123 326Sabri, B.T., Jawad, W.K. Discretion-Preserving with Data Mining Drive Distribution Scheme with a Universal Social Grid Web for Vans Using Vast Data ridesharing, global social network, auto pooling, direction, criminal file 28, 1, 211-216https://doi.org/10.18280/isi.280124 Sabri, B.T., Jawad, W.K. (2023). Discretion-preserving with data mining drive distribution scheme with a universal social grid web for vans using vast data. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 1, p. 211-216. https://doi.org/10.18280/isi.280124 327 Pachala, P.K., Bojja, P. Prediction of Lungs Cancer in Medical Images Using Deep Learning Approach lungs cancer, deep learning, classification, machine learning, CT image, cancer detection, segmentation 28, 1, 217-223https://doi.org/10.18280/isi.280125 Pachala, P.K., Bojja, P. (2023). Prediction of lungs cancer in medical images using deep learning approach. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 217-223. https://doi.org/10.18280/isi.280125 328Deore, S.P. Enriching Song Recommendation Through Facial Expression Using Deep Learning convolutional neural network, expression, mood, decision making, mood identification, song recommendation 28, 1, 225-229https://doi.org/10.18280/isi.280126 Deore, S.P. (2023). Enriching song recommendation through facial expression using deep learning. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 225-229. https://doi.org/10.18280/isi.280126 329 Raghava Deepthi, J.V.N., Khan, A.K., Acharjee, T. Energy Efficient Routing Algorithm for WSN-IoT Network Internet of Things (IoT), Wireless Sensor Networks (WSN), data transmission, flooding, game theory, spanning tree, routing 28, 1, 231-238https://doi.org/10.18280/isi.280127 Raghava Deepthi, J.V.N., Khan, A.K., Acharjee, T. (2023). Energy efficient routing algorithm for WSN-IoT network. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No.1, p. 231-238. https://doi.org/10.18280/isi.280127 330 Ebrahem, A.T., Mahmmood, B.S. Design of Dynamic Network for Parallel Processing on a Distributed System parallel processing, network topologies, threads, dynamic selection 28, 1, 239-245https://doi.org/10.18280/isi.280128 Ebrahem, A.T., Mahmmood, B.S. (2023). Design of dynamic network for parallel processing on a distributed system. IngĂ© nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 239- 245. https://doi.org/10.18280/isi.280128 331 Narayanrao, P.V., Surya Kumari, P.L. Regularized CNN Based Model for Analyzing, Predicting Depression and Handling Overfitting CNN, depression, dropout, NHANES, overfitting, PHQ-9 28, 1, 247-254https://doi.org/10.18280/isi.280129 Narayanrao, P.V., Surya Kumari, P.L. (2023). Regularized CNN based model for analyzing, predicting depression and handling overfitting. IngĂ©nierie des SystĂšmes dâInformation, Vol. 28, No. 1, p. 247-254. https://doi.org/10.18280/isi.280129 332Khare, V. Automatic Detection of Exudates in Retinal Image Using Statistical Techniques diabetic retinopathy, optic disc, GLCM, GLPCM, GLRLM features extraction, and BPNN classifier 28, 1, 255-261https://doi.org/10.18280/isi.280130 Khare, V. (2023). Automatic detection of exudates in retinal image using statistical techniques. IngĂ©nierie des SystĂšmes dâ Information, Vol. 28, No. 1, p. 255-261. https://doi.org/10.18280/isi.280130 333 Belayadi, Y., Khababa, A., Attia, A., Maza, S. An Effective Method Based on Bi- Clustering and Association Rules for User Activity Analysis in Location- Based Social Network bi-clustering, location-based social network, association rules, Apriori algorithm, Gowalla dataset 27, 6, 855-864https://doi.org/10.18280/isi.270601 Belayadi, Y., Khababa, A., Attia, A., Maza, S. (2022). An effective method based on bi-clustering and association rules for user activity analysis in location-based social network. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 855- 864. https://doi.org/10.18280/isi.270601 334 Mohammed, N.Y., Omar, H.A., Aziz, A.A. Contributions of Leadership Styles to Digital Transformation-An Exploratory Study of the Opinions of a Sample of Administrative Leaders at the Northern Technical University reciprocal leader, transformational leader, democratic leader, digital transformation, digital strategies, governance, digital technology 27, 6, 865-873 https://doi.org/10.18280/isi.270602 Mohammed, N.Y., Omar, H.A., Aziz, A.A. (2022). Contributions of leadership styles to digital transformation-an exploratory study of the opinions of a sample of administrative leaders at the Northern Technical University. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 865-873. https://doi.org/10.18280/isi.270602 335 Riad, M.A., El-Ghandour, O.M., El-Haleem, A.M.A. Fairness Oriented H-NOMA Devices Association and Pairing in HCN Slicing Using Cooperation Games 5G, RAN slicing, HCN, eMBB, uRLLC, H- NOMA, NBS, matching game 27, 6, 875-885https://doi.org/10.18280/isi.270603 Riad, M.A., El-Ghandour, O.M., El-Haleem, A.M.A. (2022). Fairness oriented H-NOMA devices association and pairing in HCN slicing using cooperation games. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 875-885. https://doi.org/10.18280/isi.270603 336 Yudhana, A., Umar, R., Fawait, A.B. Decision Making Using the MABAC Method to Determine the Leading Small and Medium Industry Centers in Yogyakarta SMIs, MABAC, decision making, criteria, confusion matrix 27, 6, 887-893 https://doi.org/10.18280/isi.270604 Yudhana, A., Umar, R., Fawait, A.B. (2022). Decision making using the MABAC method to determine the leading small and medium industry centers in Yogyakarta. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 6, p. 887-893. https://doi.org/10.18280/isi.270604 337 Najmani, K., Benlahmar, E.H., Sael, N., Zellou, A. A Systematic Literature Review on Recommender Systems for MOOCs recommender system (RS), MOOCs, massive open online course, systematic literature review, course recommendation 27, 6, 895-902 https://doi.org/10.18280/isi.270605 Najmani, K., Benlahmar, E.H., Sael, N., Zellou, A. (2022). A systematic literature review on recommender systems for MOOCs. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 895-902. https://doi.org/10.18280/isi.270605 338Riadi, I., Herman, Siregar, N.H. Mobile Forensic Analysis of Signal Messenger Application on Android using Digital Forensic Research Workshop (DFRWS) Framework android, COVID-19 vaccine, cybercrime, DFRWS framework, hoax, mobile forensic, signal messenger 27, 6, 903-913https://doi.org/10.18280/isi.270606 Riadi, I., Herman, Siregar, N.H. (2022). Mobile forensic analysis of signal messenger application on android using Digital Forensic Research Workshop (DFRWS) framework. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 903-913. https://doi.org/10.18280/isi.270606 339 Abdul, A.M., Mohammad, A.A.K., Sastry, M.K., Bankapalli, J. Brute Force Attack on Distributed data Hiding in the Multi-Cloud Storage Environment More Diminutive than the Exponential Computations security, steganography, brute force attack, multi-cloud storage environment, cover media, encoding 27, 6, 915-921 https://doi.org/10.18280/isi.270607 Abdul, A.M., Mohammad, A.A.K., Sastry, M.K., Bankapalli, J. (2022). Brute force attack on distributed data hiding in the multi-cloud storage environment more diminutive than the exponential computations. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 6, p. 915-921. https://doi.org/10.18280/isi.270607 340 Al-Obaidy, N.A.I., Mahmood, B.S., Alkababji, A.M.F. Finger Veins Verification by Exploiting the Deep Learning Technique recognition, finger vein, fusion, deep learning 27, 6, 923-931https://doi.org/10.18280/isi.270608 Al-Obaidy, N.A.I., Mahmood, B.S., Alkababji, A.M.F. (2022). Finger veins verification by exploiting the deep learning technique. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 923-931. https://doi.org/10.18280/isi.270608 341 Hasanudin, C., Fitrianingsih, A., Utomo, D.N.P., Fitriyana, N. Android Based Material to Teach Early Reading for Primary Students using Construct 2 Apps teaching material, early reading, android, primary students, construct 2 apps 27, 6, 933-940https://doi.org/10.18280/isi.270609 Hasanudin, C., Fitrianingsih, A., Utomo, D.N.P., Fitriyana, N. (2022). Android based material to teach early reading for primary students using construct 2 apps. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 6, p. 933-940. https://doi.org/10.18280/isi.270609 342 Mallampati, D., Hegde, N.P. Feature Extraction and Classification of Email Spam Detection Using IMTF- IDF+Skip-Thought Vectors machine learning algorithms, support vector machine, convolutional neural network, TF- IDF, Skip-thoughts 27, 6, 941-948https://doi.org/10.18280/isi.270610 Mallampati, D., Hegde, N.P. (2022). Feature extraction and classification of email spam detection using IMTF-IDF+Skip- thought vectors. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 941-948. https://doi.org/10.18280/isi.270610 343 El Aissi, M.E.M., Benjelloun, S., Lakhrissi, Y., El Haj Ben Ali, S. Big Data Enabling Fish Farming Data- Driven Strategy big data, data lake, data driven strategy, digital transformation, fish farming, data value chain 27, 6, 949-956https://doi.org/10.18280/isi.270611 El Aissi, M.E.M., Benjelloun, S., Lakhrissi, Y., El Haj Ben Ali, S. (2022). Big data enabling fish farming data-driven strategy. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 949-956. https://doi.org/10.18280/isi.270611 344Fadel, N., Kareem, E.I.A. Detecting Hand Gestures Using Machine Learning Techniques image segmentation, HSV color space, human-computer interaction, American sign language, hand gesture detection, clustering, KNN, K mean clustering, canny filter, OtsuâS segmentation, thresholds segmentation, FCM 27, 6, 957-965https://doi.org/10.18280/isi.270612 Fadel, N., Kareem, E.I.A. (2022). Detecting hand gestures using machine learning techniques. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 6, p. 957-965. https://doi.org/10.18280/isi.270612 345Raju, M.S.N., Rao, B.S. Classification of Colon and Lung Cancer Through Analysis of Histopathology Images Using Deep Learning Models histopathology images, visualization techniques, deep learning models, image processing techniques 27, 6, 967-971https://doi.org/10.18280/isi.270613 Raju, M.S.N., Rao, B.S. (2022). Classification of colon and lung cancer through analysis of histopathology images using deep learning models. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 967-971. https://doi.org/10.18280/isi.270613 346Arisaputra, P., Zahra, A. Indonesian Automatic Speech Recognition with XLSR-53 Indonesian, automatic speech recognition, wav2vec 2.0, XLSR-53 27, 6, 973-982https://doi.org/10.18280/isi.270614 Arisaputra, P., Zahra, A. (2022). Indonesian automatic speech recognition with XLSR-53. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 6, p. 973-982. https://doi.org/10.18280/isi.270614 347Pang, X.R., Pang, Y. Evaluation Model and Influencing Factors of Consumer Satisfaction with E-Commerce Platform e-commerce platform, consumer satisfaction, evaluation model, artificial neural network 27, 6, 983-990https://doi.org/10.18280/isi.270615 Pang, X.R., Pang, Y. (2022). Evaluation model and influencing factors of consumer satisfaction with e-commerce platform. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 983- 990. https://doi.org/10.18280/isi.270615 348Singh, M., Khare, V. Detection of Parkinsonâs Disease Using the Spiral Diagram and Convolutional Neural Network spiral drawing, Parkinsonâs disease convolution neural network 27, 6, 991-997https://doi.org/10.18280/isi.270616 Singh, M., Khare, V. (2022). Detection of Parkinsonâs disease using the spiral diagram and convolutional neural network. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 991- 997. https://doi.org/10.18280/isi.270616 349P. G., V.K.R., M. M. Automatic Modulation Classification Using a Support Vector Machine-Based Pattern Recognition Algorithm modulation recognition, support vectors, kernel function, linear and non-linear kernels, cumulants 27, 6, 999-1007 https://doi.org/10.18280/isi.270617 P. G., V.K.R., M. M. (2022). Automatic modulation classification using a support vector machine-based pattern recognition algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 999-1007. https://doi.org/10.18280/isi.270617 350 Abood, A.M., Nasser, A.R., Al-Khazraji, H. Predictive Maintenance of Electromechanical Systems Using Deep Learning Algorithms: Review deep learning, electromechanical system, motor, predictive maintenance, deep learning 27, 6, 1009-1017https://doi.org/10.18280/isi.270618 Abood, A.M., Nasser, A.R., Al-Khazraji, H. (2022). Predictive maintenance of electromechanical systems using deep learning algorithms: Review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 1009-1017. https://doi.org/10.18280/isi.270618 351Chenoori, R.K., Kavuri, R. GrFrauder: A Novel Unsupervised Clustering Algorithm for Identification Group Spam Reviewers opinion spamming, spammer groups, spam identification, spam indicators, group spam indicators 27, 6, 1019-1027 https://doi.org/10.18280/isi.270619 Chenoori, R.K., Kavuri, R. (2022). GrFrauder: A novel unsupervised clustering algorithm for identification group spam reviewers. IngĂ©nierie des systĂšmes d information, Vol. 27, No. 6, p. 1019-1027. https://doi.org/10.18280/isi.270619 352 Siddamsetti, S., Srivenkatesh, M. Implementation of Blockchain with Machine Learning Intrusion Detection System for Defending IoT Botnet and Cloud Networks blockchain, cloud systems, machine learning, IoT botnets, intrusion detection system 27, 6, 1029-1038 https://doi.org/10.18280/isi.270620 Siddamsetti, S., Srivenkatesh, M. (2022). Implementation of blockchain with machine learning intrusion detection system for defending IoT botnet and cloud networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 6, p. 1029-1038. https://doi.org/10.18280/isi.270620 353 Obaid, M.A., Awad, A.S., Khaleel, I.S. An Optimal Cluster Head Selection with Trusted Path Routing and Classification of Intrusion in WSN Employing CHLNNet intrusion detection, neural network, classification, cluster head, trust management, optimal route 27, 5, 685-693https://doi.org/10.18280/isi.270501 Obaid, M.A., Awad, A.S., Khaleel, I.S. (2022). An optimal cluster head selection with trusted path routing and classification of intrusion in WSN employing CHLNNet. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 685- 693. https://doi.org/10.18280/isi.270501 354Mediani, C. Interactive Hybrid Recommendation of Pedagogical Resources collaborative filtering, content-based, recommender system, pedagogical resource, SVM, TF-IDF 27, 5, 695-704 https://doi.org/10.18280/isi.270502 Mediani, C. (2022). Interactive hybrid recommendation of pedagogical resources. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 695-704. https://doi.org/10.18280/isi.270502 355 Mokhtar, R., Othman, S.H., Ramlan, R. Modelling Quality Assurance System Process Using UML Notation UML, metamodelling, quality assurance, programme accreditation, higher education 27, 5, 705-716https://doi.org/10.18280/isi.270503 Mokhtar, R., Othman, S.H., Ramlan, R. (2022). Modelling quality assurance system process using UML notation. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 705- 716. https://doi.org/10.18280/isi.270503 356 Setiawan, A., Hadiyanto, H., Widodo, C.E. Distance Estimation Between Camera and Shrimp Underwater Using Euclidian Distance and Triangles Similarity Algorithm shrimp, underwater, distance estimation, Euclidian distance, triangle similarity 27, 5, 717-724https://doi.org/10.18280/isi.270504 Setiawan, A., Hadiyanto, H., Widodo, C.E. (2022). Distance estimation between camera and shrimp underwater using Euclidian distance and triangles similarity algorithm. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 717- 724. https://doi.org/10.18280/isi.270504 357 Prasad, B., Ramachandram, S. Prevention and Detection Mechanisms for Re-Entrancy Attack and King of Ether Throne Attack for Ethereum Smart Contracts blockchain technology, smart contracts, re- entrancy vulnerability, king of ether throne vulnerability 27, 5, 725-735https://doi.org/10.18280/isi.270505 Prasad, B., Ramachandram, S. (2022). Prevention and detection mechanisms for re-entrancy attack and king of ether throne attack for ethereum smart contracts. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 5, p. 725-735. https://doi.org/10.18280/isi.270505 358 Saeed, S.H., Hadi, S.M., Hamad, A.H. Iraqi Paradigm E-Voting System Based on Hyperledger Fabric Blockchain Platform E-voting, blockchain, hyperledger fabric, hyperledger caliper, performance evaluation 27, 5, 737-745https://doi.org/10.18280/isi.270506 Saeed, S.H., Hadi, S.M., Hamad, A.H. (2022). Iraqi paradigm E-voting system based on hyperledger fabric blockchain platform. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 737-745. https://doi.org/10.18280/isi.270506 359 Hioual, O., Hemam, S.M., Hioual, O., Maif, L. A Hybrid Approach for Web Pages Classification keyword extraction, machine learning, supervised machine learning approach, TF- IDF, web page classification 27, 5, 747-755https://doi.org/10.18280/isi.270507 Hioual, O., Hemam, S.M., Hioual, O., Maif, L. (2022). A hybrid approach for web pages classification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 747-755. https://doi.org/10.18280/isi.270507 360Yamparala, R., Pandian, S.N.S. A Neighbor Trust Weight Based Cryptography for Multi Key Distribution for Improving Quality of Service in MANETS routing information, multi key generation, identity with trust level cryptography, key generation, key distribution, network security, trusted node, network performance 27, 5, 757-765https://doi.org/10.18280/isi.270508 Yamparala, R., Pandian, S.N.S. (2022). A neighbor trust weight based cryptography for multi key distribution for improving quality of service in MANETS. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 5, p. 757-765. https://doi.org/10.18280/isi.270508 361 Antonio, A.M.M., Humberto, D.B., Ăngel, M.C.M., de JesĂșs, D.B.F. Percolation Analysis in a Fractal Network with Stable Opinion Dynamics stable non-consensus opinion model, infinitely ramified network fractal, Sierpinski carpets 27, 5, 767-774https://doi.org/10.18280/isi.270509 Antonio, A.M.M., Humberto, D.B., Ăngel, M.C.M., de JesĂșs, D.B.F. (2022). Percolation analysis in a fractal network with stable opinion dynamics. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 5, p. 767-774. https://doi.org/10.18280/isi.270509 362 Fadhil, R., Misliani, E., Sofyan, H. Preferences of Acceptance for Gayo Arabica Coffee Based on Sensory Test Using Adaptive Neuro-Fuzzy Inference System (ANFIS) ANFIS, Gayo Arabica coffee, membership function, sensory test, taste 27, 5, 775-782https://doi.org/10.18280/isi.270510 Fadhil, R., Misliani, E., Sofyan, H. (2022). Preferences of acceptance for Gayo Arabica coffee based on sensory test using Adaptive Neuro-Fuzzy Inference System (ANFIS). IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 775-782. https://doi.org/10.18280/isi.270510 363 Shawly, T., Alsheikhy, A.A., Said, Y.F., Lahza, H. An Effective Approach for Smart Parking Management smart management system, smart cities, efficient method, image segmentation, digital services, automatic services 27, 5, 783-789https://doi.org/10.18280/isi.270511 Shawly, T., Alsheikhy, A.A., Said, Y.F., Lahza, H. (2022). An effective approach for smart parking management. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 783-789. https://doi.org/10.18280/isi.270511 364Balne, S., Manike, C. An Exploration: Alzheimerâs Disease Classification Based on Spectral Matching of Shape Features Alzheimerâs disease, generative model, VAE, GAN, classification, spectral matching 27, 5, 791-797 https://doi.org/10.18280/isi.270512 Balne, S., Manike, C. (2022). An exploration: Alzheimerâs disease classification based on spectral matching of shape features. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 791-797. https://doi.org/10.18280/isi.270512 365 Yemelyanov, V., Nikonenko, U., Sytnyk, Y., Okhrimenko, I., Shulga, A. A Model for Countering the Information and Technical Threats of Intellectual Capital Management of Innovation-Oriented Systems in the Engineering Sector intellectual capital, engineering, innovation, systems, model 27, 5, 799-806https://doi.org/10.18280/isi.270513 Yemelyanov, V., Nikonenko, U., Sytnyk, Y., Okhrimenko, I., Shulga, A. (2022). A model for countering the information and technical threats of intellectual capital management of innovation-oriented systems in the engineering sector. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 799- 806. https://doi.org/10.18280/isi.270513 366Lasmika, A., Kumaresan, M. A Smart Car Parking System Based on IoT with Gray Wolf Optimization- Probability Correlated Neural Network Recognition Methods smart car parking system, Internet of Things (IoT), recognition and classification, Anisotropic Diffusion Gaussian Filtering, Grey Level-Co-Occurrence Matrix, Probability Correlated Neural Network (PCNN) 27, 5, 807-814 https://doi.org/10.18280/isi.270514 Lasmika, A., Kumaresan, M. (2022). A smart car parking system based on IoT with Gray Wolf Optimization-probability correlated neural network recognition methods. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 807-814. https://doi.org/10.18280/isi.270514 367 Kuyoro, A.O., Ogunyolu, O.A., Ayanwola, T.G., Ayankoya, F.Y. Dynamic Effectiveness of Random Forest Algorithm in Financial Credit Risk Management for Improving Output Accuracy and Loan Classification Prediction credit scoring, decision tree, default, feature selection, forecasting, random forest, loan 27, 5, 815-821 https://doi.org/10.18280/isi.270515 Kuyoro, A.O., Ogunyolu, O.A., Ayanwola, T.G., Ayankoya, F.Y. (2022). Dynamic effectiveness of random forest algorithm in financial credit risk management for improving output accuracy and loan classification prediction. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 27, No. 5, p. 815-821. https://doi.org/10.18280/isi.270515 368 Chennouk, H., Ziyati, E.H., El Bhiri, B. Business Value Creation Through Project Management Based on Big Data Approach big data, business value, project management, big data analytics 27, 5, 823-828https://doi.org/10.18280/isi.270516 Chennouk, H., Ziyati, E.H., El Bhiri, B. (2022). Business value creation through project management based on big data approach. IngĂ©nierie des systĂšmes d information, Vol. 27, No. 5, p. 823-828. https://doi.org/10.18280/isi.270516 369 Kumar, M., Khatri, S.K., Mohammadian, M. Predicting Cancer Survival Using Multilayer Perceptron and High- Dimensional SVM Kernel Space multilayer perceptron, support vector machine, breast cancer, Habermanâs, survival, prediction, machine learning 27, 5, 829-834 https://doi.org/10.18280/isi.270517 Kumar, M., Khatri, S.K., Mohammadian, M. (2022). Predicting cancer survival using multilayer perceptron and high-dimensional SVM kernel space. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 829-834. https://doi.org/10.18280/isi.270517 370 Habelko, O., Bozhko, N., Gavrysh, I., Khltobina, O., Necheporuk, Y. Characteristics of the Influence of Digital Technologies on the System of Learning a Foreign Language digital technologies, language, engineering, system, model 27, 5, 835-841https://doi.org/10.18280/isi.270518 Habelko, O., Bozhko, N., Gavrysh, I., Khltobina, O., Necheporuk, Y. (2022). Characteristics of the influence of digital technologies on the system of learning a foreign language. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 835-841. https://doi.org/10.18280/isi.270518 371 Kale, A.P., Sonawane, S., Wahul, R.M., Dudhedia, M.A. Improved Genetic Optimized Feature Selection for Online Sequential Extreme Learning Machine genetic algorithm, online sequential extreme learning machine, pattern classification problem, feature selection problem, random search strategy 27, 5, 843-848https://doi.org/10.18280/isi.270519 Kale, A.P., Sonawane, S., Wahul, R.M., Dudhedia, M.A. (2022). Improved genetic optimized feature selection for online sequential extreme learning machine. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 843-848. https://doi.org/10.18280/isi.270519 372 Vanjire, S.K., Patil, S.B. A Novel Method for Breakdown Prediction of Vehicle Clutch Using Multiple Linear Regression vehicle clutch status, multiple linear regression, vehicle prognostic 27, 5, 849-854https://doi.org/10.18280/isi.270520 Vanjire, S.K., Patil, S.B. (2022). A novel method for breakdown prediction of vehicle clutch using multiple linear regression. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 5, p. 849-854. https://doi.org/10.18280/isi.270520 373Danladi, M.S., Baykara, M. Design and Implementation of Temperature and Humidity Monitoring System Using LPWAN Technology data transmission, internet of things, long- range, LoRaWAN, LPWAN, temperature and humidity monitoring 27, 4, 521-529https://doi.org/10.18280/isi.270401 Danladi, M.S., Baykara, M. (2022). Design and implementation of temperature and humidity monitoring system using LPWAN technology. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 4, p. 521-529. https://doi.org/10.18280/isi.270401 374 Liouane, O., Femmam, S., Bakir, T., Abdelali, A.B. Cascade Machines Learning Process for Node Localization in Large-Scale Wireless Sensor Networks wireless sensors network, localization, machine learning, deep extreme learning machine 27, 4, 531-537https://doi.org/10.18280/isi.270402 Liouane, O., Femmam, S., Bakir, T., Abdelali, A.B. (2022). Cascade machines learning process for node localization in large-scale wireless sensor networks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 531-537. https://doi.org/10.18280/isi.270402 375 Singh, N., Verma, G., Khare, V. Accurate Power Estimation Identity for DSP Blocks Targeted to FPGAs FIR, IP, DSP, power, FPGA, RTL27, 4, 539-548https://doi.org/10.18280/isi.270403 Singh, N., Verma, G., Khare, V. (2022). Accurate power estimation identity for DSP blocks targeted to FPGAs. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 539- 548. https://doi.org/10.18280/isi.270403 376Zaitar, Y. Analyzing the Contribution of ERP Systems to Improving the Performance of Organizations ERP, IT impacts, value chain, competitive structure, performance 27, 4, 549-556https://doi.org/10.18280/isi.270404 Zaitar, Y. (2022). Analyzing the contribution of ERP systems to improving the performance of organizations. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 549-556. https://doi.org/10.18280/isi.270404 377Rahate, G., Chopade, N. Realistic Vertical Handoff Predictive Trigger Thresholding in Heterogeneous Networks vertical handover, heterogeneous networks, MIH, IEEE 802.21, NS-2 27, 4, 557-563https://doi.org/10.18280/isi.270405 Rahate, G., Chopade, N. (2022). Realistic vertical handoff predictive trigger thresholding in heterogeneous networks. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 557- 563. https://doi.org/10.18280/isi.270405 378Saitong, P. Designing, Developing, and Efficiency Evaluation of a Smartphone Application for Blood Donation application for blood donation, smartphone, prototype, efficiency evaluation 27, 4, 565-576https://doi.org/10.18280/isi.270406 Saitong, P. (2022). Designing, developing, and efficiency evaluation of a smartphone application for blood donation. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 565- 576. https://doi.org/10.18280/isi.270406 379 Alao, O.D., Priscilla, E.A., Amanze, R.C., Kuyoro, S.O., Adebayo, A.O. User-Centered/User Experience Uc/Ux Design Thinking Approach for Designing a University Information Management System user experience, user-centered design, design thinking, usability testing and user interface design 27, 4, 577-590 https://doi.org/10.18280/isi.270407 Alao, O.D., Priscilla, E.A., Amanze, R.C., Kuyoro, S.O., Adebayo, A.O. (2022). User-centered/user experience Uc/Ux design thinking approach for designing a university information management system. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 4, p. 577-590. https://doi.org/10.18280/isi.270407 380 Patra, A., Behera, S.K., Barpanda, N.K., Sethy, P.K. Effect of Microscopy Magnification Towards Grading of Breast Invasive Carcinoma: An Experimental Analysis on Deep Learning and Traditional Machine Learning Methods breast invasive carcinoma, microscopy magnification, breast cancer, deep learning 27, 4, 591-596https://doi.org/10.18280/isi.270408 Patra, A., Behera, S.K., Barpanda, N.K., Sethy, P.K. (2022). Effect of microscopy magnification towards grading of breast invasive carcinoma: An experimental analysis on deep learning and traditional machine learning methods. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 4, p. 591-596. https://doi.org/10.18280/isi.270408 381 Basysyar, F.M., Dikananda, A.R., Kurnia, D.A. Prediction of Bank Customer Potential Using Creative Marketing Based on Exploratory Data Analysis and Decision Tree Algorithm decision tree, best trashold determination, classification, creative marketing, Python 3 27, 4, 597-604 https://doi.org/10.18280/isi.270409 Basysyar, F.M., Dikananda, A.R., Kurnia, D.A. (2022). Prediction of bank customer potential using creative marketing based on exploratory data analysis and decision tree algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 597-604. https://doi.org/10.18280/isi.270409 382Kakulla, S., Malladi, S. Sybil Attack Detection in VANET Using Machine Learning Approach sybil attack, Vehicular Ad-hoc Network (VANET), network security, network simulator 27, 4, 605-611 https://doi.org/10.18280/isi.270410 Kakulla, S., Malladi, S. (2022). Sybil attack detection in VANET using machine learning approach. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 4, p. 605-611. https://doi.org/10.18280/isi.270410 383 Zhavoronok, A. Popelo, O., Shchur, R., Ostrovska, N., Kordzaia, N. The Role of Digital Technologies in the Transformation of Regional Models of Householdsâ Financial Behavior in the Conditions of the National Innovative Economy Development innovative economy, national economy, financial behavior of households, digitalization, digital technologies, regional model of financial behavior 27, 4, 613-620https://doi.org/10.18280/isi.270411 Zhavoronok, A. Popelo, O., Shchur, R., Ostrovska, N., Kordzaia, N. (2022). The role of digital technologies in the transformation of regional models of householdsâ financial behavior in the conditions of the national innovative economy development. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 613-620. https://doi.org/10.18280/isi.270411 384 Gaykar, R.S., Khanaa, V., Joshi, S.D. A Hybrid Supervised Learning Approach for Detection and Mitigation of Job Failure with Virtual Machines in Distributed Environments hybrid machine learning, virtual machine, job failure, detection and mitigation, load balancing 27, 4, 621-627 https://doi.org/10.18280/isi.270412 Gaykar, R.S., Khanaa, V., Joshi, S.D. (2022). A hybrid supervised learning approach for detection and mitigation of job failure with virtual machines in distributed environments. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 621-627. https://doi.org/10.18280/isi.270412 385 Minor, K.A., Kartowisastro, I.H. Automatic Music Transcription Using Fourier Transform for Monophonic and Polyphonic Audio File musical notation, music transcription, note value detection, Fourier transform 27, 4, 629-635https://doi.org/10.18280/isi.270413 Minor, K.A., Kartowisastro, I.H. (2022). Automatic music transcription using Fourier Transform for monophonic and polyphonic audio file. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 629-635. https://doi.org/10.18280/isi.270413 386 Salankar, P., Avasthi, V., Pasricha, A. Analysis and Validation of Lightweight Authentication Algorithm IoT, CoAP, DTLS, lightweight mutual authentication, ROT 18, validation, simulation 27, 4, 637-643https://doi.org/10.18280/isi.270414 Salankar, P., Avasthi, V., Pasricha, A. (2022). Analysis and validation of lightweight authentication algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 637-643. https://doi.org/10.18280/isi.270414 387 Hidayat, M.T., Rahim, S.S., Parumo, S., Aâbas, N.N., Sani, M.A.M, Aziz, H.A. Designing a Two - Dimensional Animation for Verbal Apraxia Therapy for Children with Verbal Apraxia of Speech childhood apraxia of speech, verbal dyspraxia, speech and language disorder, 2D animation, visual animation treatment 27, 4, 645-651https://doi.org/10.18280/isi.270415 Hidayat, M.T., Rahim, S.S., Parumo, S., Aâbas, N.N., Sani, M.A.M, Aziz, H.A. (2022). Designing a two - dimensional animation for verbal apraxia therapy for children with verbal apraxia of speech. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 645-651. https://doi.org/10.18280/isi.270415 388 Prakash, S.J., Chetty, M.S.R., Aravapalli, J. Swarm Based Optimization for Image Dehazing from Noise Filtering Perspective de-hazing, HRNFP, bat algorithm, noise filtering 27, 4, 653-658https://doi.org/10.18280/isi.270416 Prakash, S.J., Chetty, M.S.R., Aravapalli, J. (2022). Swarm based optimization for image dehazing from noise filtering perspective. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 653-658. https://doi.org/10.18280/isi.270416 389 Budiarti, M., Ritonga, M., Rahmawati, Yasmadi, Julhadi, Zulmuqim. Padlet as a LMS Platform in Arabic Learning in Higher Education e-learning, Padlet, LMS, Arabic language teaching 27, 4, 659-664https://doi.org/10.18280/isi.270417 Budiarti, M., Ritonga, M., Rahmawati, Yasmadi, Julhadi, Zulmuqim. (2022). Padlet as a LMS platform in Arabic learning in higher education. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 4, p. 659-664. https://doi.org/10.18280/isi.270417 390Velicheti, S., Prudhivi, M.R. Design of Log Periodic Dipole Array with FEM and FDTD Based Analysis for GSM, PCS, Industry Standard Medical and Wi-Fi Communication Applications LPDA, HFSS, medical application27, 4, 665-671https://doi.org/10.18280/isi.270418 Velicheti, S., Prudhivi, M.R. (2022). Design of log periodic dipole array with FEM and FDTD based analysis for GSM, PCS, industry standard medical and Wi-Fi communication applications. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 665-671. https://doi.org/10.18280/isi.270418 391Jamal, M., Hassan, T.A. Speech Coding Using Discrete Cosine Transform and Chaotic Map speech coding, data compression, transform coding, neural speech coding, speech signal 27, 4, 673-677https://doi.org/10.18280/isi.270419 Jamal, M., Hassan, T.A. (2022). Speech coding using discrete cosine transform and chaotic map. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 4, p. 673-677. https://doi.org/10.18280/isi.270419 392Shelke, R., Vanjale, S. Recursive LSTM for the Classification of Named Entity Recognition for Hindi Language NER, Hindi language, BiLSTM, ML 27, 4, 679-684https://doi.org/10.18280/isi.270420 Shelke, R., Vanjale, S. (2022). Recursive LSTM for the classification of named entity recognition for Hindi language. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 4, p. 679-684. https://doi.org/10.18280/isi.270420 393 Johnson, G.Y.E., Adepo, J., Kamagate, B.H., Oumtanaga, S. Inference Control in Aggregation Query Processing Based on Supervised Learning Models data security, inference control, supervised learning, aggregation queries, data warehouses 27, 3, 357-368https://doi.org/10.18280/isi.270301 Johnson, G.Y.E., Adepo, J., Kamagate, B.H., Oumtanaga, S. (2022). Inference control in aggregation query processing based on supervised learning models. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 3, p. 357-368. https://doi.org/10.18280/isi.270301 394 Rizal, A., Handzah, V.A.P., Kusuma, P.D. Heart Sounds Classification Using Short-Time Fourier Transform and Gray Level Difference Method grey-level difference matrix, short-time Fourier transform, auscultation, classification 27, 3, 369-376 https://doi.org/10.18280/isi.270302 Rizal, A., Handzah, V.A.P., Kusuma, P.D. (2022). Heart sounds classification using short-time Fourier transform and gray level difference method. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 3, p. 369-376. https://doi.org/10.18280/isi.270302 395 Foughali, A., Kitouni, I., Benmerzoug, D. ODMR-IoT: Outliers Detection Based Multipath Routing Protocol for Internet of Things (IoT) IoT, contextual outlier detection, clustering, NS3 27, 3, 377-385https://doi.org/10.18280/isi.270303 Foughali, A., Kitouni, I., Benmerzoug, D. (2022). ODMR-IoT: Outliers detection based multipath routing protocol for Internet of Things (IoT). IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 377-385. https://doi.org/10.18280/isi.270303 396 Afifi, S., Santoso, H.B., Hasani, L.M. Investigating Studentsâ Online Self- Regulated Learning Skills and Their E- Learning Experience in a Prophetic Communication Course learning experiences, learning strategies, online learning, prophetic communication, self-regulated learning 27, 3, 387-397 https://doi.org/10.18280/isi.270304 Afifi, S., Santoso, H.B., Hasani, L.M. (2022). Investigating studentsâ online self-regulated learning skills and their e- learning experience in a prophetic communication course. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 387- 397. https://doi.org/10.18280/isi.270304 397Saeed, R.S., Oleiwi, B.K. A Survey of Deep Learning Applications for COVID-19 Detection Techniques Based on Medical Images Chest X-Ray, CT-Scan, convolutional neural networks, COVID-19, deep learning, disease detection, medical applications, medical images 27, 3, 399-408 https://doi.org/10.18280/isi.270305 Saeed, R.S., Oleiwi, B.K. (2022). A survey of deep learning applications for COVID-19 detection techniques based on medical images. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 399-408. https://doi.org/10.18280/isi.270305 398 Pongsatitpat, B., Prathepha, K., Obma, J., Sa-Ngiamvibool, W. The Automatic Brain Tumor Segmentation Based on MRI Using Optimal Morphology Thresholding Methods brain tumors, threshold, morphology, segmentation, MRI images 27, 3, 409-414https://doi.org/10.18280/isi.270306 Pongsatitpat, B., Prathepha, K., Obma, J., Sa-Ngiamvibool, W. (2022). The automatic brain tumor segmentation based on MRI using optimal morphology thresholding methods. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 409-414. https://doi.org/10.18280/isi.270306 399 Ahmed, B.S., Benbouzid, S., Nibouche, F. Design and Implementation of Smart Glasses with ISMS and Risk Management Functionalities for a Technical Operator smart glasses, information security system (ISMS), maintenance, risk analysis, functional analysis, design 27, 3, 415-423 https://doi.org/10.18280/isi.270307 Ahmed, B.S., Benbouzid, S., Nibouche, F. (2022). Design and implementation of smart glasses with ISMS and risk management functionalities for a technical operator. IngĂ©nierie des SystĂšmes dâInformatio, Vol. 27, No. 3, p. 415-423. https://doi.org/10.18280/isi.270307 400 Roy, R., Rao, G.A. A Framework for an Efficient Recommendation System Using Time and Fairness Constraint Based Web Usage Mining Technique web usage mining, clustering, constraints, fairness, cost, recommendation system 27, 3, 425-431https://doi.org/10.18280/isi.270308 Roy, R., Rao, G.A. (2022). A framework for an efficient recommendation system using time and fairness constraint based web usage mining technique. IngĂ©nierie des SystĂšmes dâ Informatio, Vol. 27, No. 3, p. 425-431. https://doi.org/10.18280/isi.270308 401 Chaiwachiragompol, A., Suwannata, N. The Study of Learning System for Infant Cry Classification Using Discrete Wavelet Transform and Extreme Machine Learning discrete wavelet transform, learning machine, infant cry, classification, feature extraction 27, 3, 433-440https://doi.org/10.18280/isi.270309 Chaiwachiragompol, A., Suwannata, N. (2022). The study of learning system for infant cry classification using discrete wavelet transform and extreme machine learning. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 433-440. https://doi.org/10.18280/isi.270309 402 Mohamed, S.A., Alsaif, O.I., Saleh, I.A. Intrusion Detection Network Attacks Based on Whale Optimization Algorithm anomaly, intrusion detection, network attack, whale optimization algorithm 27, 3, 441-446https://doi.org/10.18280/isi.270310 Mohamed, S.A., Alsaif, O.I., Saleh, I.A. (2022). Intrusion detection network attacks based on whale optimization algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 441-446. https://doi.org/10.18280/isi.270310 403 Ajaegbu, O., Ajaegbu, C., Quilling, R. Nigeria EndSARS Protest: False Information Mitigation Hybrid Model fake news, false information, media, protest, social media 27, 3, 447-455https://doi.org/10.18280/isi.270311 Ajaegbu, O., Ajaegbu, C., Quilling, R. (2022). Nigeria EndSARS protest: False information mitigation hybrid model. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 447-455. https://doi.org/10.18280/isi.270311 404Zaitar, Y. Design of a Balanced Model for Evaluating the Outcomes of ERP Projects ERP, IT impacts, evaluation model, balanced scorecard, performance 27, 3, 457-462https://doi.org/10.18280/isi.270312 Zaitar, Y. (2022). Design of a balanced model for evaluating the outcomes of ERP projects. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 3, p. 457-462. https://doi.org/10.18280/isi.270312 405 Rukayah, Daryanto, J., Atmojo, I.R.W., Ardiansyah, R., Saputri, D.Y., Salimi, M. Augmented Reality Media Development in STEAM Learning in Elementary Schools learning media, augmented reality, STEAM elementary school 27, 3, 463-471https://doi.org/10.18280/isi.270313 Rukayah, Daryanto, J., Atmojo, I.R.W., Ardiansyah, R., Saputri, D.Y., Salimi, M. (2022). Augmented reality media development in STEAM learning in elementary schools. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 463- 471. https://doi.org/10.18280/isi.270313 406Dudhedia, M.A., Ravinder, Y. Impact of Strategy Optimization on Game-Based CR-MAC Protocol Performance game theory, self-configuring, wireless networks, contention window, cognitive radio based wireless network 27, 3, 473-478https://doi.org/10.18280/isi.270314 Dudhedia, M.A., Ravinder, Y. (2022). Impact of strategy optimization on game-based CR-MAC protocol performance. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 473-478. https://doi.org/10.18280/isi.270314 407El Mettiti, A., Oumsis, M. A Stacked Autoencoder and Multilayer Perceptrons for mmWave Beamforming Prediction 6G networks, beamforming, artificial intelligence, deep learning, autoencoders, millimeter-wave 27, 3, 479-485https://doi.org/10.18280/isi.270315 El Mettiti, A., Oumsis, M. (2022). A stacked autoencoder and multilayer perceptrons for mmWave beamforming prediction. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 479-485. https://doi.org/10.18280/isi.270315 408Thottathyl, H., Pavan, K.K. Differential Evolution Model for Identification of Most Influenced Gene in Brest Cancer Data microarray data, clustering, unsupervised learning, unlabeled data, gene expression 27, 3, 487-493https://doi.org/10.18280/isi.270316 Thottathyl, H., Pavan, K.K. (2022). Differential evolution model for identification of most influenced gene in Brest cancer data. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 3, p. 487-493. https://doi.org/10.18280/isi.270316 409 Gusnina, M., Wiharto, Salamah, U. Student Performance Prediction in Sebelas Maret University Based on the Random Forest Algorithm random forest, classification, information gain, student academic performance, support vector machine 27, 3, 495-501 https://doi.org/10.18280/isi.270317 Gusnina, M., Wiharto, Salamah, U. (2022). Student performance prediction in Sebelas Maret University based on the random forest algorithm. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 3, p. 495-501. https://doi.org/10.18280/isi.270317 410 Alharbi, L.M., Qamar, A.M. Arabic Sentiment Analysis of Eateriesâ Reviews Using Deep Learning sentiment analysis, machine learning, deep learning 27, 3, 503-508https://doi.org/10.18280/isi.270318 Alharbi, L.M., Qamar, A.M. (2022). Arabic sentiment analysis of eateriesâ reviews using deep learning. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 3, p. 503-508. https://doi.org/10.18280/isi.270318 411 Daggubati, S.P., Kasukurthi, V.R., PVGD, P.R. Cryptography and Reference Sequence Based DNA/RNA Sequence Compression Algorithms CryptoCompress, RefCompress, DNA compression, reference DNA, cryptographic hash function 27, 3, 509-514 https://doi.org/10.18280/isi.270319 Daggubati, S.P., Kasukurthi, V.R., PVGD, P.R. (2022). Cryptography and reference sequence based DNA/RNA sequence compression algorithms. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 3, p. 509-514. https://doi.org/10.18280/isi.270319 412Wen, J., Zhao, Y.L. An Urban and Rural Educational Resource Sharing and Exchange Platform Based on Cloud Platform Access Technology educational resources, cloud platform, operation convenience, resource quality, sharing, reliability 27, 3, 515-520 https://doi.org/10.18280/isi.270320 Wen, J., Zhao, Y.L. (2022). An urban and rural educational resource sharing and exchange platform based on cloud platform access technology. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 3, p. 515-520. https://doi.org/10.18280/isi.270320 413 Sainuddin, S., Subali, B., Jailani, Elvira, M. The Development and Validation Prospective Mathematics Teachers Holistic Assessment Tools holistic assessment, prospective mathematics teacher, construct validity, EFA, CFA 27, 2, 171-184https://doi.org/10.18280/isi.270201 Sainuddin, S., Subali, B., Jailani, Elvira, M. (2022). The development and validation prospective mathematics teachers holistic assessment tools. IngĂ©nierie des SystĂšmes dâ Informatio, Vol. 27, No. 2, p. 171-184. https://doi.org/10.18280/isi.270201 414 Chakraoui, M., Mouhni, N., Elkalay, A., Nemiche, M. Deep Negative Effects of Misleading Information about COVID-19 on Populations Through Twitter COVID-19, sentiment analysis, misinformation, social networks, rumors about COVID-19 27, 2, 185-192 https://doi.org/10.18280/isi.270202 Chakraoui, M., Mouhni, N., Elkalay, A., Nemiche, M. (2022). Deep negative effects of misleading information about COVID- 19 on populations through twitter. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 2,. p. 185-192. https://doi.org/10.18280/isi.270202 415 Madhurima, V., Padmapriya, K. ASIC Implementation of Hardware Efficient DTCWT Architecture for Intra Prediction HEVC Coding in Complex Wavelet intra prediction, dual tree complex wavelet, ASIC, low power, HEVC, systolic array, parallel processing 27, 2, 193-204https://doi.org/10.18280/isi.270203 Madhurima, V., Padmapriya, K. (2022). ASIC implementation of hardware efficient DTCWT architecture for intra prediction HEVC coding in complex wavelet. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 2, p. 193-204. https://doi.org/10.18280/isi.270203 416 Urba, S., Chervona, O., Panchenko, V., Artemenko, L., Guk, O. Features of the Application of Digital Technologies for Human Resources Management of an Engineering Enterprise digital technologies, management, engineering, HR-Management, engineering enterprises 27, 2, 205-211https://doi.org/10.18280/isi.270204 Urba, S., Chervona, O., Panchenko, V., Artemenko, L., Guk, O. (2022). Features of the application of digital technologies for human resources management of an engineering enterprise. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 205-211. https://doi.org/10.18280/isi.270204 417 Satish Babu, J., Krishna Mohan, G. An Intelligent Multi-Objective Evolutionary Model for Establishing Security in Cyber-Physical Systems cyber-physical system, element-driven problem, multi-objective evolutionary algorithm, optimization, uncertain, feasibility 27, 2, 213-221https://doi.org/10.18280/isi.270205 Satish Babu, J., Krishna Mohan, G. (2022). An intelligent multi-objective evolutionary model for establishing security in cyber-physical systems. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 213-221. https://doi.org/10.18280/isi.270205 418Azeez, N.D., Mohammed, N.Y. Factors Influencing Adoption of Mobile Health Monitoring System: Extending UTAUT2 with Trust mobile health monitoring services, AUTAUT2, trust, structure equation modeling (SEM) 27, 2, 223-232https://doi.org/10.18280/isi.270206 Azeez, N.D., Mohammed, N.Y. (2022). Factors influencing adoption of mobile health monitoring system: Extending UTAUT2 with trust. IngĂ©nierie des SystĂšmes dâInformatio, Vol. 27, No. 2, p. 223-232. https://doi.org/10.18280/isi.270206 419Gayal, B.S., Patil, S.R. Detection and Localization of Abnormal Events for Smart Surveillance vision only system, multi-model system, deep convolutional neural network (DCNN), bi-directional prediction model, GWO based deep CNN, SMO based deep CNN 27, 2, 233-241https://doi.org/10.18280/isi.270207 Gayal, B.S., Patil, S.R. (2022). Detection and localization of abnormal events for smart surveillance. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 2, p. 233-241. https://doi.org/10.18280/isi.270207 420 Septinaningrum, Hakam, K.A., Setiawan, W., Agustin, M. Developing of Augmented Reality Media Containing Grebeg Pancasila for Character Learning in Elementary School Grebeg Pancasila, augmented reality, character learning, elementary school 27, 2, 243-253https://doi.org/10.18280/isi.270208 Septinaningrum, Hakam, K.A., Setiawan, W., Agustin, M. (2022). Developing of augmented reality media containing Grebeg Pancasila for character learning in elementary school. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 243-253. https://doi.org/10.18280/isi.270208 421 Ramo, R.M., Alshaher, A.A., Al-Fakhry, N.A. The Effect of Using Artificial Intelligence on Learning Performance in Iraq: The Dual Factor Theory Perspective artificial intelligence, learning performance, constructivism theory, TAM3, UTAUT, BM, dual factor theory, status quo bias theory 27, 2, 255-265https://doi.org/10.18280/isi.270209 Ramo, R.M., Alshaher, A.A., Al-Fakhry, N.A. (2022). The effect of using artificial intelligence on learning performance in Iraq: The dual factor theory perspective. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 2, p. 255-265. https://doi.org/10.18280/isi.270209 422 Rao, K.K., Shanti, C., Rao, A.J., Babu, S.B., Kumari, G.L., Surekha, Y. Personalized Smart Diet Assistance System in Health Care Prosperity with AI and AR augmented reality, WHO, AI, smart diet, transmissible diseases 27, 2, 267-274https://doi.org/10.18280/isi.270210 Rao, K.K., Shanti, C., Rao, A.J., Babu, S.B., Kumari, G.L., Surekha, Y. (2022). Personalized smart diet assistance system in health care prosperity with AI and AR. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 2, p. 267-274. https://doi.org/10.18280/isi.270210 423 Jamal, M.A., El-Khodary, I.A., Ali, D.S. A Two-Stage Rough Data Envelopment Analysis and Its Application in Three- Level Supply Chain Performance Evaluation data envelopment analysis, decision- making units, rough set theory, two-stage RDEA 27, 2, 275-283https://doi.org/10.18280/isi.270211 Jamal, M.A., El-Khodary, I.A., Ali, D.S. (2022). A two-stage rough data envelopment analysis and its application in three- level supply chain performance evaluation. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 2, p. 275-283. https://doi.org/10.18280/isi.270211 424 Rajyalakshmi, C., Rao, K.R.M., Rao, R.R. A Novel Architecture Implementation Using Multi Scale Shared Residual Network from Remote Sensing Images for Extracting Water Bodies multi-scale shared residual network (MSSResNet), convolutional block attention module (CBAM), satellite imagery 27, 2, 285-291 https://doi.org/10.18280/isi.270212 Rajyalakshmi, C., Rao, K.R.M., Rao, R.R. (2022). A novel architecture implementation using multi scale shared residual network from remote sensing images for extracting water bodies. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 285-291. https://doi.org/10.18280/isi.270212 425 Mekahlia, F.Z., Bouzama, M.Z., Nechar, S. Impact of Vaccination on COVID-19 Spread in Real Time: Visualization and Analysis Tool data scientist, data analyst, visualization, vaccine, COVID-19, business intelligence, dashboards 27, 2, 293-301https://doi.org/10.18280/isi.270213 Mekahlia, F.Z., Bouzama, M.Z., Nechar, S. (2022). Impact of vaccination on COVID-19 spread in real time: Visualization and analysis tool. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 293-301. https://doi.org/10.18280/isi.270213 426 Sharma, A., Sharma, S., Gulati, S., Choudhury, T. CAPTCHA Robustness- AI Approach Using to Web Security human verification, CAPTCHA, neural engine, gesture recognition 27, 2, 303-311 https://doi.org/10.18280/isi.270214 Sharma, A., Sharma, S., Gulati, S., Choudhury, T. (2022). CAPTCHA robustness- AI approach using to web security. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 303- 311. https://doi.org/10.18280/isi.270214 427 Hadad, A.A., Khalid, H.N., Naser, Z.S., Taha, M.S. A Robust Color Image Watermarking Scheme Based on Discrete Wavelet Transform Domain and Discrete Slantlet Transform Technique information security, digital watermarking, copyright, discrete wavelet transform, discrete Slantlet transform 27, 2, 313-319 https://doi.org/10.18280/isi.270215 Hadad, A.A., Khalid, H.N., Naser, Z.S., Taha, M.S. (2022). A robust color image watermarking scheme based on Discrete Wavelet Transform domain and Discrete Slantlet Transform technique. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 313-319. https://doi.org/10.18280/isi.270215 428 Mou, S.X., Zhang, S., Chen, J.W., Zhai, H.Y., Zhang, Y.D. A Deep Learning-Based Grouped Teaching Strategy for Experimental Training deep learning, student grouping, experimental training 27, 2, 321-326https://doi.org/10.18280/isi.270216 Mou, S.X., Zhang, S., Chen, J.W., Zhai, H.Y., Zhang, Y.D. (2022). A deep learning-based grouped teaching strategy for experimental training. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 321-326. https://doi.org/10.18280/isi.270216 429 Patil, S.A., Komati, T.R. Designing of a Novel Neural Network Model for Classification of Music Genre neural network, feature extraction, music genres 27, 2, 327-333 https://doi.org/10.18280/isi.270217 Patil, S.A., Komati, T.R. (2022). Designing of a novel neural network model for classification of music genre. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 327-333. https://doi.org/10.18280/isi.270217 430 Andriyani, Y., Daqiqil Id, I., Mahdiyah, E., Aminuddin, A. Use Case Realization in Software Reverse Engineering reverse engineering, use case diagram, event table, requirement specification 27, 2, 335-341https://doi.org/10.18280/isi.270218 Andriyani, Y., Daqiqil Id, I., Mahdiyah, E., Aminuddin, A. (2022). Use case realization in software reverse engineering. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 335-341. https://doi.org/10.18280/isi.270218 431 Sheetal, A.P., Bhima, R.T., Karampudi, R., Prasad, S.D.V. Load Balancing and Parallel Computation Model for Performance and Accuracy over the Cluster of Nodes cloud computing, load balancing, parallel computing, service oriented architectures 27, 2, 343-348https://doi.org/10.18280/isi.270219 Sheetal, A.P., Bhima, R.T., Karampudi, R., Prasad, S.D.V. (2022). Load balancing and parallel computation model for performance and accuracy over the cluster of nodes. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 343-348. https://doi.org/10.18280/isi.270219 432 Gao, J., Ismail, N., Gao, Y.J. Computer Big Data Analysis and Predictive Maintenance Based on Deep Learning deep learning, computer big data, predictive maintenance, self-adaptively adjusted sampling, parallel processing, Convolutional Neural Network (CNN) 27, 2, 349-355https://doi.org/10.18280/isi.270220 Gao, J., Ismail, N., Gao, Y.J. (2022). Computer big data analysis and predictive maintenance based on deep learning. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 2, p. 349-355. https://doi.org/10.18280/isi.270220 433El Mettiti, A., Oumsis, M. A Survey on 6G Networks: Vision, Requirements, Architecture, Technologies and Challenges 6G networks, terahertz communication, artificial intelligence, internet of things, 6G requirements 27, 1, 1-10https://doi.org/10.18280/isi.270101 El Mettiti, A., Oumsis, M. (2022). A survey on 6G networks: Vision, requirements, architecture, technologies and challenges. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 1-10. https://doi.org/10.18280/isi.270101 434 Venkatesh, D.Y., Mallikarjunaiah, K., Srikantaswamy, M. A Comprehensive Review of Low Density Parity Check Encoder Techniques low density parity check (LDPC), Bose Chaudhuri Hocquenghem (BCH), field programmable gate array, quasi-cyclic low density parity check (QC-LDPC), consultative committee for space data systems (CCSDS) 27, 1, 11-20https://doi.org/10.18280/isi.270102 Venkatesh, D.Y., Mallikarjunaiah, K., Srikantaswamy, M. (2022). A comprehensive review of low density parity check encoder techniques. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 11-20. https://doi.org/10.18280/isi.270102 435 Herrera-Granda, E.P., Lorente- Leyva, L.L., Yambay, J., Aranguren, J., Ibarra, M., Peña, J. Controller Modeling of a Quadrotor space states, controller modeling, quadrotor, trajectory tracking 27, 1, 21-28https://doi.org/10.18280/isi.270103 Herrera-Granda, E.P., Lorente-Leyva, L.L., Yambay, J., Aranguren, J., Ibarra, M., Peña, J. (2022). Controller modeling of a quadrotor. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 21-28. https://doi.org/10.18280/isi.270103 436 Kumar, C.K., Ramachandran, N. A Comprehensive Review on Intrusion Detection and Prevention Schemes for Network Coding Enabled Mobile Small Cells intrusion detection, intrusion prevention, network coding, mobile small cells, DDoS attacks, pollution attacks, entropy attacks, jamming attacks, network security 27, 1, 29-39https://doi.org/10.18280/isi.270104 Kumar, C.K., Ramachandran, N. (2022). A comprehensive review on intrusion detection and prevention schemes for network coding enabled mobile small cells. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 27, No. 1, p. 29-39. https://doi.org/10.18280/isi.270104 437Chabbi, S., Chefrour, D. Vulnerability of the Dynamic Array PIN Protocol PIN authentication, automated teller machine, NFC smartphone, dynamic array PIN protocol, vulnerability 27, 1, 41-47https://doi.org/10.18280/isi.270105 Chabbi, S., Chefrour, D. (2022). Vulnerability of the dynamic array PIN protocol. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 41-47. https://doi.org/10.18280/isi.270105 438Tatale, S., Prakash, V.C. Automatic Generation and Optimization of Combinatorial Test Cases from UML Activity Diagram Using Particle Swarm Optimization covering arrays, combinatorial test case generation, behavioral UML diagrams, activity diagram, railway reservation system, concession management system, particle swarm optimization 27, 1, 49-59https://doi.org/10.18280/isi.270106 Tatale, S., Prakash, V.C. (2022). Automatic generation and optimization of combinatorial test cases from UML activity diagram using particle swarm optimization. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 27, No. 1, p. 49-59. https://doi.org/10.18280/isi.270106 439 El-Tayeb, M., Taha, A., Fayed, Z.T. Live-Streamed Video Reconstruction for Web Browser Forensics digital forensics, browser cache, live- streams, Nimo TV, YouTube live, google chrome, Firefox, chromium 27, 1, 61-66 https://doi.org/10.18280/isi.270107 El-Tayeb, M., Taha, A., Fayed, Z.T. (2022). Live-streamed video reconstruction for web browser forensics. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 61-66. https://doi.org/10.18280/isi.270107 440 Pujari, J.J., Kanadam, K.P. Semi Global Pairwise Sequence Alignment Using New Chromosome Structure Genetic Algorithm sequence alignment, genetic algorithm, optimal gaps, chromosome structure 27, 1, 67-74https://doi.org/10.18280/isi.270108 Pujari, J.J., Kanadam, K.P. (2022). Semi global pairwise sequence alignment using new chromosome structure genetic algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 67-74. https://doi.org/10.18280/isi.270108 441 Thao, L.Q., Cuong, D.D., Anh, N.T., Anh, P.M., Duc, H.M., Minh, N. Automatic Traffic Red-Light Violation Detection Using AI traffic, red light violation, machine learning, convolutional neural network 27, 1, 75-80 https://doi.org/10.18280/isi.270109 Thao, L.Q., Cuong, D.D., Anh, N.T., Anh, P.M., Duc, H.M., Minh, N. (2022). Automatic traffic red-light violation detection using AI. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 75-80. https://doi.org/10.18280/isi.270109 442 Tridalestari, F.A., Mustafid, Warsito, B., Wibowo, A., Prasetyo, H.N. Analysis of E-Commerce Process in the Downstream Section of Supply Chain Management Based on Process and Data Mining downstream supply chain management, E- commerce, process mining, data mining 27, 1, 81-91 https://doi.org/10.18280/isi.270110 Tridalestari, F.A., Mustafid, Warsito, B., Wibowo, A., Prasetyo, H.N. (2022). Analysis of e-commerce process in the downstream section of supply chain management based on process and data mining. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 1, p. 81-91. https://doi.org/10.18280/isi.270110 443Kannan, E., Kothamasu, L.A. Fine-Tuning BERT Based Approach for Multi-Class Sentiment Analysis on Twitter Emotion Data classification algorithms, machine learning, sentiment analysis, twitter, emotion 27, 1, 93-100https://doi.org/10.18280/isi.270111 Kannan, E., Kothamasu, L.A. (2022). Fine-tuning BERT based approach for multi-class sentiment analysis on Twitter emotion data. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 93-100. https://doi.org/10.18280/isi.270111 444 Maamra, O.E., Kholladi, M.K., Kazar, O., Harous, S. Smart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services Internet of Things, business intelligence and analytics, skyline query, cloud computing, data mining, multicriteria decision 27, 1, 101-109 https://doi.org/10.18280/isi.270112 Maamra, O.E., Kholladi, M.K., Kazar, O., Harous, S. (2022). Smart-approach based Internet of Things and skyline query for multicriteria decisions for travel services. IngĂ©nierie des SystĂš mes dâInformation, Vol. 27, No. 1, p. 101-109. https://doi.org/10.18280/isi.270112 445 Izang, A.A., Ajaegbu, C., Ajayi, W., Omotunde, A.A., Enike, V.O., Ifidon, B.O. Radio Frequency Identification Based Student Attendance System Radio Frequency Identification (RFID), reader, Near Field Communication (NFC), attendance, RFID tags 27, 1, 111-117https://doi.org/10.18280/isi.270113 Izang, A.A., Ajaegbu, C., Ajayi, W., Omotunde, A.A., Enike, V.O., Ifidon, B.O. (2022). Radio frequency identification based student attendance system. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 1, p. 111-117. https://doi.org/10.18280/isi.270113 446 Mandhala, V.N., Bhattacharyya, D., Midhunchakkaravarthy, D., Kim, H.J. Detecting and Mitigating Bias in Data Using Machine Learning with Pre- Training Metrics bias mitigation, class imbalance, KL divergence, sample disparity, KS, ROC curve, FPR, FNR 27, 1, 119-125https://doi.org/10.18280/isi.270114 Mandhala, V.N., Bhattacharyya, D., Midhunchakkaravarthy, D., Kim, H.J. (2022). Detecting and mitigating bias in data using machine learning with pre-training metrics. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 119-125. https://doi.org/10.18280/isi.270114 447 Laxminarayanamma, K., Krishnaiah, R.V., Sammulal, P. Enhanced CNN Model for Pancreatic Ductal Adenocarcinoma Classification Based on Proteomic Data pancreatic ductal adenocarcinoma (PDAC), CNN, artificial neural network (ANN), genomic data 27, 1, 127-133https://doi.org/10.18280/isi.270115 Laxminarayanamma, K., Krishnaiah, R.V., Sammulal, P. (2022). Enhanced CNN model for pancreatic ductal adenocarcinoma classification based on proteomic data. IngĂ© nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 127- 133. https://doi.org/10.18280/isi.270115 448Abdulkareem, A.B. Transmission Control Protocol Analysis Using NS3 TCP, active queue management, network simulator, NS-3, NS-2, end to end delays 27, 1, 135-141https://doi.org/10.18280/isi.270116 Abdulkareem, A.B. (2022). Transmission control protocol analysis using NS3. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 135-141. https://doi.org/10.18280/isi.270116 449 Mouhni, N., Elkalay, A., Chakraoui, M., Abdali, A., Ammoumou, A., Amalou, I. Federated Learning for Medical Imaging: An Updated State of the Art federated learning, deep learning, medical imaging, transfer learning, blockchain 27, 1, 143-150https://doi.org/10.18280/isi.270117 Mouhni, N., Elkalay, A., Chakraoui, M., Abdali, A., Ammoumou, A., Amalou, I. (2022). Federated learning for medical imaging: An updated state of the art. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 143-150. https://doi.org/10.18280/isi.270117 450Govindarajan, M. Effective Intrusion Detection System Using Classifier Ensembles accuracy, arcing, bagging, ensemble, heterogeneous, homogeneous, support vector machine, radial basis function 27, 1, 151-156https://doi.org/10.18280/isi.270118 Govindarajan, M. (2022). Effective intrusion detection system using classifier ensembles. IngĂ©nierie des SystĂšmes dâ Information, Vol. 27, No. 1, p. 151-156. https://doi.org/10.18280/isi.270118 451 Anupriya, K., Harini, K., Balaji, K., Sudha, K.G. Spam Mail Detection Using Optimization Techniques bio-inspired algorithms, classification, machine learning, optimization, Tkinter 27, 1, 157-163https://doi.org/10.18280/isi.270119 Anupriya, K., Harini, K., Balaji, K., Sudha, K.G. (2022). Spam mail detection using optimization techniques. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 157-163. https://doi.org/10.18280/isi.270119 452Challa, R.K., Rao, K.S. Resource Based Attacks Security Using RPL Protocol in Internet of Things RPL, IoT, resource-based attacks, security, allied parent 27, 1, 165-170https://doi.org/10.18280/isi.270120 Challa, R.K., Rao, K.S. (2022). Resource based attacks security using RPL protocol in Internet of things. IngĂ©nierie des SystĂšmes dâInformation, Vol. 27, No. 1, p. 165-170. https://doi.org/10.18280/isi.270120 453 Sharma, V., Bhushan, S., Boahar, B.S., Kumar, P., Kumar, A. An Intelligent Approach for Protecting Privacy in Distributed Information Mining Using Secured Computation of Multiple Participating Sites privacy-preserving information mining, distributed data, multiparty computation, secret sharing 26, 6, 515-522https://doi.org/10.18280/isi.260601 Sharma, V., Bhushan, S., Boahar, B.S., Kumar, P., Kumar, A. (2021). An intelligent approach for protecting privacy in distributed information mining using secured computation of multiple participating sites. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 6, p. 515-522. https://doi.org/10.18280/isi.260601 454 Anandarao, S., Chellasamy, S.H. Detection of Hot Topic in Tweets Using Modified Density Peak Clustering NLTK, TF-IDF vector model, density peak clustering, cosine similarity 26, 6, 523-531 https://doi.org/10.18280/isi.260602 Anandarao, S., Chellasamy, S.H. (2021). Detection of hot topic in tweets using modified density peak clustering. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 6, p. 523-531. https://doi.org/10.18280/isi.260602 455 Boonsivanon, K., Sa- Ngiamvibool, W. A SIFT Description Approach for Non- Uniform Illumination and Other Invariants keypoint description, matching, image moment, SIFT, invariants 26, 6, 533-539https://doi.org/10.18280/isi.260603 Boonsivanon, K., Sa-Ngiamvibool, W. (2021). A SIFT description approach for non-uniform illumination and other invariants. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 6, p. 533-539. https://doi.org/10.18280/isi.260603 456 Wiharto, Suryani, E., Setyawan, S. Framework Two-Tier Feature Selection on the Intelligence System Model for Detecting Coronary Heart Disease coronary artery disease, two-tier feature selection, information gain, fast correlation- based filter 26, 6, 541-547 https://doi.org/10.18280/isi.260604 Wiharto, Suryani, E., Setyawan, S. (2021). Framework two-tier feature selection on the intelligence system model for detecting coronary heart disease. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 6, p. 541-547. https://doi.org/10.18280/isi.260604 457Srinivasan, V Detection of Black Hole Attack Using Honeypot Agent-Based Scheme with Deep Learning Technique on MANET blackhole attack, deep learning, honeypots agents, internet of things, intrusion detection systems 26, 6, 549-557 https://doi.org/10.18280/isi.260605 Srinivasan, V. (2021). Detection of black hole attack using honeypot agent-based scheme with deep learning technique on MANET. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 6, p. 549-557. https://doi.org/10.18280/isi.260605 458Phijik, B., Rao, C.V.G. Pragmatic Security-Aware Cross-Layer Design for Wireless Networks from Vampire Attacks cross layer design, wireless networks, vampire attack, carousal and stretch attacks 26, 6, 559-567https://doi.org/10.18280/isi.260606 Phijik, B., Rao, C.V.G. (2021). Pragmatic security-aware cross-layer design for wireless networks from vampire attacks. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 6, p. 559-567. https://doi.org/10.18280/isi.260606 459 Badawi, B., Nurudin, A., Muafi, M. Consumer Conformity, Social Ties and EWOM in Digital Marketing digital marketing, consumer conformity, social ties, EWOM, purchase intention 26, 6, 569-576 https://doi.org/10.18280/isi.260607 Badawi, B., Nurudin, A., Muafi, M. (2021). Consumer conformity, social ties and EWOM in digital marketing. IngĂ© nierie des SystĂšmes dâInformation, Vol. 26, No. 6, p. 569- 576. https://doi.org/10.18280/isi.260607 460 Rajpurohit, J. A Modified Jellyfish Search Optimizer with Opposition Based Learning and Biased Passive Swarm Motion swarm intelligence, nature inspired optimization, metaheuristic algorithms 26, 6, 577-584https://doi.org/10.18280/isi.260608 Rajpurohit, J. (2021). A modified jellyfish search optimizer with opposition based learning and biased passive swarm motion. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 6, p. 577-584. https://doi.org/10.18280/isi.260608 461Challa, R., Gunta, V. Towards the Construction of Reed- Muller Code Based Symmetric Key FHE reed-muller code, coding theory, erroneous codewords, permutation, majority logic decoding 26, 6, 585-590https://doi.org/10.18280/isi.260609 Challa, R., Gunta, V. (2021). Towards the construction of reed- muller code based symmetric key FHE. IngĂ©nierie des SystĂš mes dâInformation, Vol. 26, No. 6, p. 585-590. https://doi.org/10.18280/isi.260609 462 Sheetal, A.P., Ravindranath, K. High Efficient Virtual Machine Migration Using Glow Worm Swarm Optimization Method for Cloud Computing cloud computing, VM migration, VM placement, Glowworm Swarm Optimization (GSO), power consumption, resource utilization 26, 6, 591-597https://doi.org/10.18280/isi.260610 Sheetal, A.P., Ravindranath, K. (2021). High efficient virtual machine migration using glow worm swarm optimization method for cloud computing. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 6, p. 591-597. https://doi.org/10.18280/isi.260610 463 Berhich, A., Jebli, I., Mbilong, P.M., El Kassiri, A., Belouadha, F.Z. Multiple Output and Multi-Steps Prediction of COVID-19 Spread Using Weather and Vaccination Data COVID-19 prediction, deep learning, neural networks, statistical analysis 26, 5, 425-436https://doi.org/10.18280/isi.260501 Berhich, A., Jebli, I., Mbilong, P.M., El Kassiri, A., Belouadha, F.Z. (2021). Multiple output and multi-steps prediction of COVID-19 spread using weather and vaccination data. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 425-436. https://doi.org/10.18280/isi.260501 464 Shrivas, A.K., Dewangan, A.K., Ghosh, S.M. Robust Text Classifier for Classification of Spam E-Mail Documents with Feature Selection Technique spam e-mail, classification, preprocessing, random forest (RF), feature selection technique (FST) 26, 5, 437-444https://doi.org/10.18280/isi.260502 Shrivas, A.K., Dewangan, A.K., Ghosh, S.M. (2021). Robust text classifier for classification of spam e-mail documents with feature selection technique. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 5, p. 437-444. https://doi.org/10.18280/isi.260502 465 Aziz, A., Setyawan, B.W., Saddhono, K. Using Expert System Application to Diagnose Online Game Addiction in Junior High School Students: Case Study in Five Big City in Indonesia expert system application, diagnosis, online game addiction, junior high school students, big city in Indonesia 26, 5, 445-452https://doi.org/10.18280/isi.260503 Aziz, A., Setyawan, B.W., Saddhono, K. (2021). Using expert system application to diagnose online game addiction in junior high school students: Case study in five big city in Indonesia. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 445-452. https://doi.org/10.18280/isi.260503 466Nagaraju, K.C., Reddy, C.R.K. Reusable Component Retrieval from a Large Repository Using Word2Vec with Continuous Bag of Words repository, Word2Vec, search, code component, neural network 26, 5, 453-460https://doi.org/10.18280/isi.260504 Nagaraju, K.C., Reddy, C.R.K. (2021). Reusable component retrieval from a large repository using Word2Vec with continuous bag of words. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 5, p. 453-460. https://doi.org/10.18280/isi.260504 467Dasari, K.B., Devarakonda, N. Detection of Different DDoS Attacks Using Machine Learning Classification Algorithms CICDDoS2019, classification algorithms, DDoS attacks 26, 5, 461-468https://doi.org/10.18280/isi.260505 Dasari, K.B., Devarakonda, N. (2021). Detection of different DDoS attacks using machine learning classification algorithms. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 461-468. https://https://doi.org/10.18280/isi.260505 468 Joukhadar, A., Ghneim, N., Rebdawi, G. Impact of Using Bidirectional Encoder Representations from Transformers (BERT) Models for Arabic Dialogue Acts Identification AraBERT models, Arabic language, dialogue acts identifications, user intents identification 26, 5, 469-475https://doi.org/10.18280/isi.260506 Joukhadar, A., Ghneim, N., Rebdawi, G. (2021). Impact of using bidirectional encoder representations from transformers (BERT) models for Arabic dialogue acts identification. IngĂ© nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 469- 475. https://doi.org/10.18280/isi.260506 469 Chandrasekaran, K.S., Mahalakshmi, V., Anathapadmanabhan, M.R. Forecasting Parameter Strategy Using Data Analytics in Supply Chain Management supply chain, data analytics, feature selection, demand supply, regression analysis 26, 5, 477-482 https://doi.org/10.18280/isi.260507 Chandrasekaran, K.S., Mahalakshmi, V., Anathapadmanabhan, M.R. (2021). Forecasting parameter strategy using data analytics in supply chain management. IngĂ© nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 477-482. https://doi.org/10.18280/isi.260507 470 Challa, R., Rao, K.S. Hybrid Approach for Detection of Objects from Images Using Fisher Vector and PSO Based CNN cnvolutional neural networks (CNN), fisher vectors (FV), PSO, object detection, deep learning, image processing 26, 5, 483-489https://doi.org/10.18280/isi.260508 Challa, R., Rao, K.S. (2021). Hybrid approach for detection of objects from images using fisher vector and PSO based CNN. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 483-489. https://doi.org/10.18280/isi.260508 471 Fitriati, A., Anggoro, S., Harmianto, S., Tubastuvi. N. Kindfull-Digital Character Book Effectiveness: A User Satisfaction Approach end-user computing satisfaction, kindfull- digital character book, system quality, user competence, user satisfaction 26, 5, 491-500 https://doi.org/10.18280/isi.260509 Fitriati, A., Anggoro, S., Harmianto, S., Tubastuvi. N. (2021). Kindfull-digital character book effectiveness: A user satisfaction approach. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 491-500. https://doi.org/10.18280/isi.260509 472 Singh, A.K., Kumar, S., Bhushan, S., Kumar, P., Vashishtha, A. A Proportional Sentiment Analysis of MOOCs Course Reviews Using Supervised Learning Algorithms sentiment analysis, MOOC, Naive Bayes, SVM, logistic regression, multilayer perceptron 26, 5, 501-506 https://doi.org/10.18280/isi.260510 Singh, A.K., Kumar, S., Bhushan, S., Kumar, P., Vashishtha, A. (2021). A proportional sentiment analysis of MOOCs course reviews using supervised learning algorithms. IngĂ© nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 501- 506. https://doi.org/10.18280/isi.260510 473 Tridalestari, F.A., Prasetyo, H.N., Wikusna, W. How to Use Design Thinking on Trash Bank Process Modeling? nformation system, design thinking, trash bank, requirements analysis, qualitative method 26, 5, 507-513https://doi.org/10.18280/isi.260511 Tridalestari, F.A., Prasetyo, H.N., Wikusna, W. (2021). How to use design thinking on trash bank process modeling? IngĂ© nierie des SystĂšmes dâInformation, Vol. 26, No. 5, p. 507- 513. https://doi.org/10.18280/isi.260511 474 El-Tayeb, M., Taha, A., Taha, Z. Streamed Video Reconstruction for Firefox Browser Forensics digital forensics, browser cache, social media (SM), video stream, data fragments, YouTube, twitter, Firefox 26, 4, 337-344 https://doi.org/10.18280/isi.260401 El-Tayeb, M., Taha, A., Taha, Z. (2021). Streamed video reconstruction for Firefox browser forensics. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 4, p. 337-344. https://doi.org/10.18280/isi.260401 475 Ambildhuke, G.M., Banik, B.G. Transfer Learning Approach - An Efficient Method to Predict Rainfall Based on Ground-Based Cloud Images rainfall prediction, ground-based cloud images, image classification, deep neural network, convolution neural network, transfer learning 26, 4, 345-356https://doi.org/10.18280/isi.260402 Ambildhuke, G.M., Banik, B.G. (2021). Transfer learning approach - An efficient method to predict rainfall based on ground-based cloud images. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 4, p. 345-356. https://doi.org/10.18280/isi.260402 476 Sama, H.R., Vemuri, V.K., Boppana, V.S.N.H.P. Optimal Control Policy for a Two- Phase M/M/1 Unreliable Gated Queue under N-Policy with a Fuzzy Environment N-policy, two-phase, unreliable server, Zadehâs extension principle, trapezoidal fuzzy number, nonlinear programming problem 26, 4, 357-364https://doi.org/10.18280/isi.260403 Sama, H.R., Vemuri, V.K., Boppana, V.S.N.H.P. (2021). Optimal control policy for a two-phase M/M/1 unreliable gated queue under N-policy with a fuzzy environment. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 4, p. 357-364. https://doi.org/10.18280/isi.260403 477 Hisham, A., Ahmed, A., Khaled, M., Abdullatif, N., Kassem, S. Modelling of Crime Record Management System Using Unified Modeling Language UML, crime record management system26, 4, 365-373https://doi.org/10.18280/isi.260404 Hisham, A., Ahmed, A., Khaled, M., Abdullatif, N., Kassem, S. (2021). Modelling of crime record management system using unified modeling language. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 4, p. 365-373. https://doi.org/10.18280/isi.260404 478 Khentout, C., Harbouche, K., Djoudi, M. Learner to Learner Fuzzy Profiles Similarity Using a Hybrid Interaction Analysis Grid BALESâ IPA, clustering, fuzzy logic, hybrid grid, multi variate time series, PLETY grid, principal component analysis, similarity measure 26, 4, 375-386https://doi.org/10.18280/isi.260405 Khentout, C., Harbouche, K., Djoudi, M. (2021). Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 4, p. 375-386. https://doi.org/10.18280/isi.260405 479 Angel, M.C.M., Humberto, D.B., Alfredo, T.M. Optimization of Vehicle Flow Times in a Single Crossing System Through the Development of a Multi-Agent Platform mobility issues, intelligent traffic control, NetLogo, multi-agent systems, monte Carlo method 26, 4, 387-392https://doi.org/10.18280/isi.260406 Angel, M.C.M., Humberto, D.B., Alfredo, T.M. (2021). Optimization of vehicle flow times in a single crossing system through the development of a multi-agent platform. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 4, p. 387-392. https://doi.org/10.18280/isi.260406 480Rao, K.R., Naganjaneyulu, S. Permissioned Healthcare Blockchain System for Securing the EHRs with Privacy Preservation EHRs, blockchain network, data privacy and security 26, 4, 393-402https://doi.org/10.18280/isi.260407 Rao, K.R., Naganjaneyulu, S. (2021). Permissioned healthcare blockchain system for securing the EHRs with privacy preservation. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 4, p. 393-402. https://doi.org/10.18280/isi.260407 481Gherbi, C. Internet of Things and Heterogeneous Networks Technologies: Concepts, Challenges and Perspectives IoT, HSN, RFID, NFC, BLE, wireless communications 26, 4, 403-408https://doi.org/10.18280/isi.260408 Gherbi, C. (2021). Internet of things and heterogeneous networks technologies: Concepts, challenges and perspectives. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 4, p. 403-408. https://doi.org/10.18280/isi.260408 482 Arlinwibowo, J., Retnawati, H., Kartowagiran, B. Item Response Theory Utilization for Developing the Student Collaboration Ability Assessment Scale in STEM Classes collaboration ability, assessment scale, student, item response theory, STEM classes 26, 4, 409-415https://doi.org/10.18280/isi.260409 Arlinwibowo, J., Retnawati, H., Kartowagiran, B. (2021). Item response theory utilization for developing the student collaboration ability assessment scale in STEM classes. IngĂ© nierie des SystĂšmes dâInformation, Vol. 26, No. 4, p. 409- 415. https://doi.org/10.18280/isi.260409 483 Kumar, I., Mishra, M.K., Mishra, R.K. Performance Analysis of NOMA Downlink for Next- Generation 5G Network with Statistical Channel State Information non-orthogonal multiple access (NOMA), channel state information (CSI), outage probability, Rayleigh fading channel 26, 4, 417-423https://doi.org/10.18280/isi.260410 Kumar, I., Mishra, M.K., Mishra, R.K. (2021). Performance analysis of NOMA downlink for next- generation 5G network with statistical channel state information. IngĂ©nierie des SystĂš mes dâInformation, Vol. 26, No. 4, p. 417-423. https://doi.org/10.18280/isi.260410 484 Sille, R., Choudhury, T., Chauhan, P., Sharma, D. A Systematic Approach for Deep Learning Based Brain Tumor Segmentation deep neural networks, segmentation algorithm, transfer learning algorithm, brain tumor, deep capsule network 26, 3, 245-254 https://doi.org/10.18280/isi.260301 Sille, R., Choudhury, T., Chauhan, P., Sharma, D. (2021). A systematic approach for deep learning based brain tumor segmentation. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 245-254. https://doi.org/10.18280/isi.260301 485 Aâbas, N.N., Rahim, S.S., Dolhalit, M.L., Saifudin, W.S.N., Abdullasim, N., Parumo, S., Omar, R.N.R., Khair, S.Z.M., Kalaichelvam, K., Izhar, S.I.N. Web Usability Testing on Diabetic Retinopathy Consultation System consultation, diabetic retinopathy, eye screening, web development, image editing, image processing, usability 26, 3, 255-264https://doi.org/10.18280/isi.260302 Aâbas, N.N., Rahim, S.S., Dolhalit, M.L., Saifudin, W.S.N., Abdullasim, N., Parumo, S., Omar, R.N.R., Khair, S.Z.M., Kalaichelvam, K., Izhar, S.I.N. (2021). Web usability testing on diabetic retinopathy consultation system. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 26, No. 3, p. 255-264. https://doi.org/10.18280/isi.260302 486 Anam, K., Asyhar, B., Saddhono, K., Setyawan, B.W. E-SIP: Website-Based Scheduling Information System to Increase the Effectivity of Lecturer's Performance and Learning Process scheduling information system, elektronik sistem informasi penjadwalan (E-SIP), website-based scheduling, effectivity of lecturersâ performance, effectivity of learning process 26, 3, 265-273 https://doi.org/10.18280/isi.260303 Anam, K., Asyhar, B., Saddhono, K., Setyawan, B.W. (2021). E-SIP: Website-based scheduling information system to increase the effectivity of lecturer's performance and learning process. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 265-273. https://doi.org/10.18280/isi.260303 487 Shivaprasad, S., Sadanandam, M. Optimized Features Extraction from Spectral and Temporal Features for Identifying the Telugu Dialects by Using GMM and HMM MFCC, ZCR, PCA, telugu language, Telangana, Costa Andhra, Rayalaseema, optimal features 26, 3, 275-283 https://doi.org/10.18280/isi.260304 Shivaprasad, S., Sadanandam, M. (2021). Optimized features extraction from spectral and temporal features for identifying the Telugu dialects by using GMM and HMM. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 275-283. https://doi.org/10.18280/isi.260304 488 Devarakonda, N., Kavitha, D., Kamarajugadda, R. Escape the Traffic Congestion Using Brainstorming Optimization Algorithm and Density Peak Clustering brainstorming optimization algorithm (BSO), density peak clustering (DPC), TF- IDF, Twitter API, density peaks 26, 3, 285-293https://doi.org/10.18280/isi.260305 Devarakonda, N., Kavitha, D., Kamarajugadda, R. (2021). Escape the traffic congestion using brainstorming optimization algorithm and density peak clustering. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 285-293. https://doi.org/10.18280/isi.260305 489Touahria, I.E., Khababa, A. A Component Based Framework to Enable Medical Devices Communication medical device, integrated clinical environment, software, component based system, safety, heterogeneity 26, 3, 295-302 https://doi.org/10.18280/isi.260306 Touahria, I.E., Khababa, A. (2021). A component based framework to enable medical devices communication. IngĂ© nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 295- 302. https://doi.org/10.18280/isi.260306 490 Khedkar, S.P., Ramalingam, A.C. Classification and Analysis of Malicious Traffic with Multi-layer Perceptron Model traffic classification, machine learning, deep learning, multilayer perceptron 26, 3, 303-310https://doi.org/10.18280/isi.260307 Khedkar, S.P., Ramalingam, A.C. (2021). Classification and analysis of malicious traffic with multi-layer perceptron model. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 303-310. https://doi.org/10.18280/isi.260307 491Yechuri, P.K., Ramadass, S. Semantic Web Mining for Analyzing Retail Environment Using Word2Vec and CNN-FK big data, semantic web, data management, sustainable retail environment, information systems, artificial neural network 26, 3, 311-318https://doi.org/10.18280/isi.260308 Yechuri, P.K., Ramadass, S. (2021). Semantic web mining for analyzing retail environment using Word2Vec and CNN-FK. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 311-318. https://doi.org/10.18280/isi.260308 492 Raman, J.A., Varadharajan, V. HoneyNetCloud Investigation Model, A Preventive Process Model for IoT Forensics network forensics, honeypots, IoT attacks, preventive model, forensics process model, HoneyNetCloud 26, 3, 319-327https://doi.org/10.18280/isi.260309 Raman, J.A., Varadharajan, V. (2021). HoneyNetCloud investigation model, a preventive process model for IoT forensics. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 319-327. https://doi.org/10.18280/isi.260309 493Rao, K.S., Sridhar, M. A Tabu Search Algorithm for General Threshold Visual Cryptography Schemes visual cryptography schemes (VCSs), visual secret sharing (VSS), pixels, images; shadows, contrast, probabilistic VSS (ProbVSS), tabu search (TS) 26, 3, 329-335https://doi.org/10.18280/isi.260310 Rao, K.S., Sridhar, M. (2021). A tabu search algorithm for general threshold visual cryptography schemes. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 3, p. 329-335. https://doi.org/10.18280/isi.260310 494 Bouziane, A., Bouchiha, D., Rebhi, R., Lorenzini, G., Doumi, N., Menni, Y., Ahmad, H. ARALD: Arabic Annotation Using Linked Data semantic web, linked data, linked open data, Arabic language, NLP techniques, machine learning, SPARQL, RDF, text annotation 26, 2, 143-149https://doi.org/10.18280/isi.260201 Bouziane, A., Bouchiha, D., Rebhi, R., Lorenzini, G., Doumi, N., Menni, Y., Ahmad, H. (2021). ARALD: Arabic annotation using linked data. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 2, p. 143-149. https://doi.org/10.18280/isi.260201 495 Najafabadi, M.K., Mohamed, A., Nair, M.A.B., Tabibian, S.M. An Effective Collaborative User Model Using Hybrid Clustering Recommendation Methods recommendation system, fuzzy clustering, collaborative filtering, sparsity 26, 2, 151-158https://doi.org/10.18280/isi.260202 Najafabadi, M.K., Mohamed, A., Nair, M.A.B., Tabibian, S.M. (2021). An effective collaborative user model using hybrid clustering recommendation methods. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 26, No. 2, p. 151-158. https://doi.org/10.18280/isi.260202 496 Meshram, V.A., Patil, K., Ramteke, S.D. MNet: A Framework to Reduce Fruit Image Misclassification CNN, computer vision, deep learning, fruit classification, machine learning 26, 2, 159-170https://doi.org/10.18280/isi.260203 Meshram, V.A., Patil, K., Ramteke, S.D. (2021). MNet: A framework to reduce fruit image misclassification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 2, p. 159-170. https://doi.org/10.18280/isi.260203 497 Hosseiny, S.M., Rahmani, A.I., Derakhshan, M., Fatahizadeh, R. An Intrusion Detection System: Using a Grasshopper Algorithm denial of service attacks, grasshopper optimization algorithm, Nearest Neighbor Classifier 26, 2, 171-177https://doi.org/10.18280/isi.260204 Hosseiny, S.M., Rahmani, A.I., Derakhshan, M., Fatahizadeh, R. (2021). An intrusion detection system: Using a grasshopper algorithm. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 2, p. 171-177. https://doi.org/10.18280/isi.260204 498 Kumar, D.G., Ganesh, A., Bhoopal, N., Saravanan, S., Prameela, M., Dsnmrao, Kasireddy, I. Evolutionary Algorithms for Real Time Engineering Problems: A Comprehensive Review optimization techniques, meta-heuristic algorithms, hybrid optimization techniques, Evolutionary Computation (EVC) 26, 2, 179-190https://doi.org/10.18280/isi.260205 Kumar, D.G., Ganesh, A., Bhoopal, N., Saravanan, S., Prameela, M., Dsnmrao, Kasireddy, I. (2021). Evolutionary algorithms for real time engineering problems: A comprehensive review. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 2, p. 179-190. https://doi.org/10.18280/isi.260205 499 Das, P., Yadav, J.K.P.S., Yadav, A.K. An Automated Tomato Maturity Grading System Using Transfer Learning Based AlexNet tomato maturity grading, manual grading, low-cost solution, AlexNet, deep learning, transfer learning 26, 2, 191-200 https://doi.org/10.18280/isi.260206 Das, P., Yadav, J.K.P.S., Yadav, A.K. (2021). An automated tomato maturity grading system using transfer learning based AlexNet. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 2, p. 191-200. https://doi.org/10.18280/isi.260206 500 Kathi, M.G., Shaik, J.H. An Optimised Allotment and Tracking Using Django and Opencv computer vision, Opencv, tracking, face detection, face recognition 26, 2, 201-209https://doi.org/10.18280/isi.260207 Kathi, M.G., Shaik, J.H. (2021). An optimised allotment and tracking using Django and Opencv. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 2, p. 201-209. https://doi.org/10.18280/isi.260207 501 Belmahdi, R., Mechta, D., Harous, S. A Survey on Various Methods and Algorithms of Scheduling in Fog Computing cloud computing, Fog Computing, internet of things, scheduling algorithms, optimization methods, heuristic, meta- heuristic 26, 2, 211-224 https://doi.org/10.18280/isi.260208 Belmahdi, R., Mechta, D., Harous, S. (2021). A survey on various methods and algorithms of scheduling in Fog Computing. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 2, p. 211-224. https://doi.org/10.18280/isi.260208 502 Sheetal, A.P., Lalitha, G., Gopi, A.P., Narayana, V.L. Secured Data Transmission with Integrated Fault Reduction Scheduling in Cloud Computing cloud computing, failures, fault tolerant, critical tasks, scheduling, fault recovery, overhead 26, 2, 225-230 https://doi.org/10.18280/isi.260209 Sheetal, A.P., Lalitha, G., Gopi, A.P., Narayana, V.L. (2021). Secured data transmission with integrated fault reduction scheduling in cloud computing. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 2, p. 225-230. https://doi.org/10.18280/isi.260209 503 Teki, S.M., Sriharsha, K.V., Nandimandalam, M.K.V. A Diabetic Prediction System Based on Mean Shift Clustering diabetes, mean-shift clustering, naive bayes, clustering 26, 2, 231-235https://doi.org/10.18280/isi.260210 Teki, S.M., Sriharsha, K.V., Nandimandalam, M.K.V. (2021). A diabetic prediction system based on mean shift clustering. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 2, p. 231-235. https://doi.org/10.18280/isi.260210 504Rao, M.V.V., Chaparala, A. An Efficient Data Mining Technique for Structural Strength Monitoring System classification, classifiers, clustering, structure strength, integrators 26, 2, 237-243 https://doi.org/10.18280/isi.260211 Rao, M.V.V., Chaparala, A. (2021). An efficient data mining technique for structural strength monitoring system. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 2, p. 237-243. https://doi.org/10.18280/isi.260211 505 Wijaya, M.C., Maksom, Z., Abdullah, M.H.L. A Brief of Review: Multimedia Authoring Tool Attributes multimedia authoring tool, authoring attributes, SMIL, NCL, formal verification, XML 26, 1, 1-11https://doi.org/10.18280/isi.260101 Wijaya, M.C., Maksom, Z., Abdullah, M.H.L. (2021). A brief of review: Multimedia authoring tool attributes. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 1, p. 1-11. https://doi.org/10.18280/isi.260101 506Yadav, A.S., Kushwaha, D.S. Query Optimization in a Blockchain- Based Land Registry Management System peer-to-peer, blockchain, property transaction system, query optimization, consensus algorithm 26, 1, 13-21https://doi.org/10.18280/isi.260102 Yadav, A.S., Kushwaha, D.S. (2021). Query optimization in a blockchain-based land registry management system. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 1, p. 13-21. https://doi.org/10.18280/isi.260102 507 Cherbal, S., Barouchi, I. ZRR-P2P: Zone-Based Mechanism for Data Replication and Research Optimization in Unstructured P2P Systems P2P, peer to peer, search mechanism, zone, area, resource popularity, replication 26, 1, 23-32https://doi.org/10.18280/isi.260103 Cherbal, S., Barouchi, I. (2021). ZRR-P2P: Zone-based mechanism for data replication and research optimization in unstructured P2P systems. IngĂ©nierie des SystĂšmes dâ Information, Vol. 26, No. 1, p. 23-32. https://doi.org/10.18280/isi.260103 508Babu, B.V.S., Babu K.S. The Purview of Blockchain Appositeness in Computing Paradigms: A Survey blockchain, access control, computing paradigms, cloud, security 26, 1, 33-46https://doi.org/10.18280/isi.260104 Babu, B.V.S., Babu K.S. (2021). The purview of blockchain appositeness in computing paradigms: A survey. IngĂ©nierie des SystĂšmes dâInformation, Vol. 26, No. 1, p. 33-46. https://doi.org/10.18280/isi.260104 509 Mbilong, P.M., Berhich, A., Jebli, I., El Kassiri, A., Belouadha, F.Z. Artificial Intelligence-Enabled and Period-Aware Forecasting COVID-19 Spread deep learning, machine learning, COVID spread prediction 26, 1, 47-57https://doi.org/10.18280/isi.260105 Mbilong, P.M., Berhich, A., Jebli, I., El Kassiri, A., Belouadha, F.Z. (2021). Artificial intelligence-enabled and period-aware forecasting COVID-19 spread. 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IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 5, p. 553-558. https://doi.org/10.18280/isi.240514 641Shi, L.L., Liu, S.H., PetroviÄ, S. Cryptanalysis of a pseudorandom generator for cross-border E-commerce Cryptanalysis, Linear Feedback Shift Registers (LFSRs), cascade, irregular clocking, constrained edit distance 24, 4, 361-365https://doi.org/10.18280/isi.240401 Shi, L.L., Liu, S.H., PetroviÄ, S. (2019). Cryptanalysis of a pseudorandom generator for cross-border E-commerce. IngĂ© nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 361- 365. https://doi.org/10.18280/isi.240401 642 Saddhono, K., Hasanudin, C., Fitrianingsih, A. The ability to think creatively on SSCS using schoology Apps, how is the studentâs language metacognitive awareness? creative thinking, metacognitive awareness, schoology apps, Search, Solve, Create and Share (SSCS) learning 24, 4, 367-375https://doi.org/10.18280/isi.240402 Saddhono, K., Hasanudin, C., Fitrianingsih, A. (2019). The ability to think creatively on SSCS using schoology Apps, how is the studentâs language metacognitive awareness? IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 367-375. https://doi.org/10.18280/isi.240402 643Meng, J.Z., Zhang, J.R.A fast algorithm for particle stacking particle packing, fast particle random algorithm, discrete element, 2D/3D generation efficiency 24, 4, 377-384https://doi.org/10.18280/isi.240403 Meng, J.Z., Zhang, J.R. (2019). A fast algorithm for particle stacking. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 377-384. https://doi.org/10.18280/isi.240403 644Bulla, S., Rao, B.B. Performance and cost analysis of web application in elastic cloud environment cloud computing, single class of service, Amazon AWS, e-commerce 24, 4, 385-389https://doi.org/10.18280/isi.240404 Bulla, S., Rao, B.B. (2019). Performance and cost analysis of web application in elastic cloud environment. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 385-389. https://doi.org/10.18280/isi.240404 645 Polisetty, K., Paidipati, K.K., Bodapati, J.D. Modelling of monthly rainfall patterns in the north-west India using SVM support vector machine (SVM), kernels, rainfall forecast, accuracy, northwest India 24, 4, 391-395https://doi.org/10.18280/isi.240405 Polisetty, K., Paidipati, K.K., Bodapati, J.D. (2019). Modelling of monthly rainfall patterns in the north-west India using SVM. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 391-395. https://doi.org/10.18280/isi.240405 646 Zang, H.J., Huang, Y., Cao, H.B., Li, C.C. A novel privacy protection protocol for vehicular ad hoc networks based on elliptic curve bilinear mapping vehicular ad hoc networks (VANETs), conditional privacy protection (CPP), group signature, elliptic curve bilinear mapping 24, 4, 397-402https://doi.org/10.18280/isi.240406 Zang, H.J., Huang, Y., Cao, H.B., Li, C.C. (2019). A novel privacy protection protocol for vehicular ad hoc networks based on elliptic curve bilinear mapping. Ingenierie des Systemes d'Information, Vol. 24, No. 4, p. 397-402. https://doi.org/10.18280/isi.240406 647 HimaBindu, G., Anuradha, C., Chandra Murty, P.S.R. Feature extraction techniques in associate with opposition based whale optimization algorithm near-duplicate video (NDV) detection, digital rights management, feature extraction, optimization techniques, the opposition-based whale optimization algorithm (OWOA) 24, 4, 403-410https://doi.org/10.18280/isi.240407 HimaBindu, G., Anuradha, C., Chandra Murty, P.S.R. (2019). Feature extraction techniques in associate with opposition based whale optimization algorithm. IngĂ©nierie des SystĂšmes d âInformation, Vol. 24, No. 4, p. 403-410. https://doi.org/10.18280/isi.240407 648 Veeramalla, S.K., Talari, V.K.H.R. Estimation of neural sources from EEG measurements using sequential monte carlo method electroencephalography (EEG), particle filter, source localization, Metropolis- Hastings (M-H) resampling 24, 4, 411-417https://doi.org/10.18280/isi.240408 Veeramalla, S.K., Talari, V.K.H.R. (2019). Estimation of neural sources from EEG measurements using sequential monte carlo method. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 411-417. https://doi.org/10.18280/isi.240408 649Wang, F.F., Hu, H.F. An improved energy-efficient cluster routing protocol for wireless sensor network cluster routing, energy-efficient, transfer nodes, load balancing 24, 4, 419-424 https://doi.org/10.18280/isi.240409 Wang, F.F., Hu, H.F. (2019). An improved energy-efficient cluster routing protocol for wireless sensor network. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 419-424. https://doi.org/10.18280/isi.240409 650 Bansal, N., Sharma, A., Singh, R.K. An evolving hybrid deep learning framework for legal document classification convolution neural network (CNN), bidirectional long short-term memory (BiLSTM), neuroevolution, hyper- parameters, optimization 24, 4, 425-431https://doi.org/10.18280/isi.240410 Bansal, N., Sharma, A., Singh, R.K. (2019). An evolving hybrid deep learning framework for legal document classification. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 425-431. https://doi.org/10.18280/isi.240410 651Yu, J. Design of a privacy-preserving algorithm for peer-to-peer network based on differential privacy peer-to-peer network (P2P), privacy preserving, differential privacy, sensitivity, privacy budget 24, 4, 433-437 https://doi.org/10.18280/isi.240411 Yu, J. (2019). Design of a privacy-preserving algorithm for peer-to-peer network based on differential privacy. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 433-437. https://doi.org/10.18280/isi.240411 652Hocine, T., Salem, A. Modified flower pollination algorithm constrained optimal power flow power system, optimal power flow, global optimization, flower pollination algorithm (FPA), security constrained 24, 4, 439-444 https://doi.org/10.18280/isi.240412 Hocine, T., Salem, A. (2019). Modified flower pollination algorithm constrained optimal power flow. IngĂ©nierie des SystĂš mes dâInformation, Vol. 24, No. 4, p. 439-444. https://doi.org/10.18280/isi.240412 653Kurra, A.K., Nelakuditi, U.R. Design of a reliable current starved inverter based arbiter physical unclonable functions (PUFs) for hardware cryptography current starved inverter (CSI), cryptographic keys, physical unclonable functions (PUFs), support vector machine (SVM), temperature instability 24, 4, 445-454https://doi.org/10.18280/isi.240413 Kurra, A.K., Nelakuditi, U.R. (2019). Design of a reliable current starved inverter based arbiter physical unclonable functions (PUFs) for hardware cryptography. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 4, p. 445-454. https://doi.org/10.18280/isi.240413 654 Elembaby, S.M., Ghoneim, V.F., Abdel-Wahed, M. ANOVAG3: A hybrid algorithm for inferring gene regulatory network using time series gene expression data gene regulatory network, GENIE3, DREAM5, one-way analysis of variance, tree-based ensemble method 24, 3, 229-232 https://doi.org/10.18280/isi.240301 Elembaby, S.M., Ghoneim, V.F., Abdel-Wahed, M. (2019). ANOVAG3: A hybrid algorithm for inferring gene regulatory network using time series gene expression data. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 229-232. https://doi.org/10.18280/isi.240301 655 Sama, H.R., Vemuri, V.K., Talagadadeevi, S.R., Bhavirisetti, S.K. Analysis of an N-policy MX/M/1 two- phase queueing system with state- dependent arrival rates and unreliable server batch arrival, breakdowns, delayed repair, generating functions, cost function 24, 3, 233-240https://doi.org/10.18280/isi.240302 Sama, H.R., Vemuri, V.K., Talagadadeevi, S.R., Bhavirisetti, S.K. (2019). Analysis of an N-policy MX/M/1 two-phase queueing system with state-dependent arrival rates and unreliable server. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 233-240. https://doi.org/10.18280/isi.240302 656Wang, H.S., Zhu, J.Y. A quadtree spatial index method with inclusion relations and its application in landcover database update spatial index, landcover database, inclusion relation, quadtree, incremental update 24, 3, 241-247https://doi.org/10.18280/isi.240303 Wang, H.S., Zhu, J.Y. (2019). A quadtree spatial index method with inclusion relations and its application in landcover database update. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 241-247. https://doi.org/10.18280/isi.240303 657 Jiao, Q.J., Jin, Y.Y. Multi-scale view reveals easily detectable community in complex networks complex network, community, multi-scale, community detection 24, 3, 249-253https://doi.org/10.18280/isi.240304 Jiao, Q.J., Jin, Y.Y. (2019). Multi-scale view reveals easily detectable community in complex networks. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 24, No. 3, p. 249-253. https://doi.org/10.18280/isi.240304 658 Bodapati, J.D., Krishna Sajja, V.R., Mundukur, N.B., Veeranjaneyulu, N. Robust cluster-then-label (RCTL) approach for heart disease prediction linear kernel, polynomial kernel, rbf kernel, logistic regression, naĂŻve bayeâs, spectral clustering, cluster then label 24, 3, 255-260https://doi.org/10.18280/isi.240305 Bodapati, J.D., Krishna Sajja, V.R., Mundukur, N.B., Veeranjaneyulu, N. (2019). Robust cluster-then-label (RCTL) approach for heart disease prediction. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 255-260. https://doi.org/10.18280/isi.240305 659 Murugan, S., Kulanthaivel, G., Ulagamuthalvi, V. Selection of test case features using fuzzy entropy measure and random forest code metrics, design metrics, entropy, faults, feature selection, fuzzy, hurwicz criterion, random forest 24, 3, 261-268https://doi.org/10.18280/isi.240306 Murugan, S., Kulanthaivel, G., Ulagamuthalvi, V. (2019). Selection of test case features using fuzzy entropy measure and random forest. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 261-268. https://doi.org/10.18280/isi.240306 660 Guo, Y.H., Jiang, S., Chen, F.T., Li, Y.C., Luo, C.Y. Borrower-lender information fusion for P2P lending: A nonparametric approach P2P lending, multi-source information fusion, multi-kernel learning, investment decisions 24, 3, 269-279https://doi.org/10.18280/isi.240307 Guo, Y.H., Jiang, S., Chen, F.T., Li, Y.C., Luo, C.Y. (2019). Borrower-lender information fusion for P2P lending: A nonparametric approach. IngĂ©nierie des SystĂšmes dâ Information, Vol. 24, No. 3, p. 269-279. https://doi.org/10.18280/isi.240307 661 Soliman, G.M.A., Abou-El- Enien, T.H.M., Emary, E., Khorshid, M.M.H. A hybrid modified whale optimization algorithm with simulated annealing for terrorism prediction hybrid algorithms, memetic algorithm, whale optimization algorithm, feature selection, spiral path, tournament selection 24, 3, 281-287https://doi.org/10.18280/isi.240308 Soliman, G.M.A., Abou-El-Enien, T.H.M., Emary, E., Khorshid, M.M.H. (2019). A hybrid modified whale optimization algorithm with simulated annealing for terrorism prediction. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 281-287. https://doi.org/10.18280/isi.240308 662Kanrar, S.,Singha S. Content delivery through hybrid architecture in video on demand system content-driven, content transfer, hybrid network, mesh structure, multitier, peer-to- peer, storage server 24, 3, 289-301https://doi.org/10.18280/isi.240309 Kanrar, S.,Singha S. (2019).Content delivery through hybrid architecture in video on demand system. IngĂ©nierie des SystĂš mes dâInformation, Vol. 24, No. 3, p. 289-301. https://doi.org/10.18280/isi.240309 663Lei, T.T., Zou, G.T. Interactive design of commercial space signage system based on object detection Commercial Space Signage System (CSSS), interactive design, object detection, analysis and evaluation, Convolutional Neural Network (CNN) 24, 3, 303-311https://doi.org/10.18280/isi.240310 Lei, T.T., Zou, G.T. (2019). Interactive design of commercial space signage system based on object detection. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 303-311. https://doi.org/10.18280/isi.240310 664Liu, Y.L., Pang, L., Lu, X.L. Click-through rate prediction based on mobile computing and big data analysis big data analysis, mobile computing, Click- through Rate (CTR), feature extraction, abnormal user 24, 3, 313-319 https://doi.org/10.18280/isi.240311 Liu, Y.L., Pang, L., Lu, X.L. (2019). Click-through rate prediction based on mobile computing and big data analysis. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 313-319. https://doi.org/10.18280/isi.240311 665 Masoumi, S., Mahjur, A.Collaborative component interaction programming language, reusability, collaboration, event, sop 24, 3, 321-329https://doi.org/10.18280/isi.240312 Masoumi, S., Mahjur, A. (2019). Collaborative component interaction. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 321-329. https://doi.org/10.18280/isi.240312 666Bai, L., Du, C.L. Design and simulation of a collision- free path planning algorithm for mobile robots based on improved ant colony optimization Path Planning, Ant Colony Optimization (ACO), collision-free algorithm, b-spline curve 24, 3, 331-336 https://doi.org/10.18280/isi.240313 Bai, L., Du, C.L. (2019). Design and simulation of a collision- free path planning algorithm for mobile robots based on improved ant colony optimization. IngĂ©nierie des SystĂšmes dâ Information, Vol. 24, No. 3, p. 331-336. https://doi.org/10.18280/isi.240313 667 Li, L.X., Gao, J., Wang, H., Deng, D., Lin, H. Construction and optimization of a file distribution model for all-to-all comparison of big dataset. distributed system, all-to-all comparison problem, file distribution, Linear Programming (LP), model optimization 24, 3, 337-342 https://doi.org/10.18280/isi.240314 Li, L.X., Gao, J., Wang, H., Deng, D., Lin, H. (2019). Construction and optimization of a file distribution model for all-to-all comparison of big dataset. IngĂ©nierie des SystĂšmes dâ Information, Vol. 24, No. 3, p. 337-342. https://doi.org/10.18280/isi.240314 668Verma, G., Chakraborty, R. A hybrid privacy preserving scheme using finger print detection in cloud environment cloud computing, security, biometric, fingerprint detection, minutiae points, elliptic curve 24, 3, 343-351https://doi.org/10.18280/isi.240315 Verma, G., Chakraborty, R. (2019). A hybrid privacy preserving scheme using finger print detection in cloud environment. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 3, p. 343-351. https://doi.org/10.18280/isi.240315 669 Gade, A., Bhat, M.N., Thakare, N. Adaptive league championship algorithm (ALCA) for independent task scheduling in cloud computing meta-heuristic algorithms, LCA, makespan, cloud utilization, job scheduling, economy of scale, resource utilization 24, 3, 353-359 https://doi.org/10.18280/isi.240316 Gade, A., Bhat, M.N., Thakare, N. (2019). Adaptive league championship algorithm (ALCA) for independent task scheduling in cloud computing. IngĂ©nierie des SystĂšmes dâ Information, Vol. 24, No. 3, p. 353-359. https://doi.org/10.18280/isi.240316 670 Hasanzadeh, N., Forghani, Y. Improving the accuracy of M-distance based nearest neighbor recommendation system by using ratings variance m-distance, recommendation system, MBR, collaborative filtering,nearest neighbor 24, 2, 131-137https://doi.org/10.18280/isi.240201 Hasanzadeh, N., Forghani, Y. (2019). Improving the accuracy of M-distance based nearest neighbor recommendation system by using ratings variance. IngĂ©nierie des SystĂšmes dâ Information, Vol. 24, No. 2, p. 131-137. https://doi.org/10.18280/isi.240201 671 Krishna, K.V.S.S.R., Prakash, B.B. Intrusion detection system employing multi-level feed forward neural network along with firefly optimization (FMLF2N2) intrusion detection system, KDD info set, firefly ALG, neural network 24, 2, 139-145https://doi.org/10.18280/isi.240202 Krishna, K.V.S.S.R., Prakash, B.B. (2019). Intrusion detection system employing multi-level feed forward neural network along with firefly optimization (FMLF2N2). IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 139-145. https://doi.org/10.18280/isi.240202 672 Wang, Y.H., Qiao, P.L., Chen, H.B., Luo, Z.Y., Sun, G.L. The reliability assessment of ICS based on evidential reasoning and semi- quantitative information er method, industrial control system, reliability assessment, semi-quantitative information 24, 2, 147-154https://doi.org/10.18280/isi.240203 Wang, Y.H., Qiao, P.L., Chen, H.B., Luo, Z.Y., Sun, G.L. (2019). The reliability assessment of ICS based on evidential reasoning and semi-quantitative information. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 147-154. https://doi.org/10.18280/isi.240203 673Chu, H.Y., Xu, L.T., Liu, Y.X. An optimal power allocation algorithm for cognitive radio networks based on maximum rate and interference constraint Cognitive Radio (CR) network, interference level constraint, power allocation, rate optimization, Karush-KuhnâTucker (KKT) Conditions 24, 2, 155-159https://doi.org/10.18280/isi.240204 Chu, H.Y., Xu, L.T., Liu, Y.X. (2019). An optimal power allocation algorithm for cognitive radio networks based on maximum rate and interference constraint. IngĂ©nierie des SystĂš mes dâInformation, Vol. 24, No. 2, p. 155-159. https://doi.org/10.18280/isi.240204 674Chiramdasu, R. Extended statistical analysis on multimedia concealed data detections statistical analysis, classifier, extended statistical analysis, rs analysis, filter groups 24, 2, 161-165https://doi.org/10.18280/isi.240205 Chiramdasu, R. (2019). Extended statistical analysis on multimedia concealed data detections. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 161-165. https://doi.org/10.18280/isi.240205 675Shi, T.T. Spatial data mining and big data analysis of tourist travel behavior big data analysis, spatial data mining, travel behavior, kernel density analysis 24, 2, 167-172https://doi.org/10.18280/isi.240206 Shi, T.T. (2019). Spatial data mining and big data analysis of tourist travel behavior. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 167-172. https://doi.org/10.18280/isi.240206 676 Reddy, U.J., Dhanalakshmi, P., Reddy, P.D.K. Image segmentation technique using SVM classifier for detection of medical disorders. MRI image, SVM, brain tumor, correlation, edge detection, image segmentation 24, 2, 173-176https://doi.org/10.18280/isi.240207 Reddy, U.J., Dhanalakshmi, P., Reddy, P.D.K. (2019). Image segmentation technique using SVM classifier for detection of medical disorders. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 173-176. https://doi.org/10.18280/isi.240207 677Jonnala, P., Reddy, U.J. Secured data representation in images using graph wavelet transformation technique secure data, wavelet transformation, image transformation, noise removal, embedding data 24, 2, 177-181https://doi.org/10.18280/isi.240208 Jonnala, P., Reddy, U.J. (2019). Secured data representation in images using graph wavelet transformation technique. IngĂ© nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 177- 181. https://doi.org/10.18280/isi.240208 678 Zhang, B.Y., Zhang, K.S., Zhong, L., Zhang, X.Y. Research on dirichlet process mixture model for clustering clustering, nonparametric bayesian, DPMM, hierarchical DPMM 24, 2, 183-189https://doi.org/10.18280/isi.240209 Zhang, B.Y., Zhang, K.S., Zhong, L., Zhang, X.Y. (2019). Research on dirichlet process mixture model for clustering. Ing Ă©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 183- 189. https://doi.org/10.18280/isi.240209 679Guan, B., Liu, M.H. A novel video compression algorithm based on wireless sensor network Wireless Sensor Network (WSN), Rate Control, Error Concealment 24, 2, 191-196 https://doi.org/10.18280/isi.240210 Guan, B., Liu, M.H. (2019). A novel video compression algorithm based on wireless sensor network. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 191-196. https://doi.org/10.18280/isi.240210 680 Premamayudu, B., Inturu, L.P., Ramesh, G. New reliability routing path for detects malicious link security, wormhole, most limited way, mobile specially appointed systems, applications, assaults, secure, binary search probing, reliability 24, 2, 197-200https://doi.org/10.18280/isi.240211 Premamayudu, B., Inturu, L.P., Ramesh, G. (2019). New reliability routing path for detects malicious link. Ingenierie des Systemes d'Information, Vol. 24, No. 2, p. 197-200. https://doi.org/10.18280/isi.240211 681Mebarek, B., Keddam, M. Prediction model for studying the growth kinetics of Fe2B boride layers during boronizing thermochemical treatment, boriding, Fe2B, simulation, artificial neural network 24, 2, 201-205 https://doi.org/10.18280/isi.240212 Mebarek, B., Keddam, M. (2019). Prediction model for studying the growth kinetics of Fe2B boride layers during boronizing. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 201-205. https://doi.org/10.18280/isi.240212 682Qiao, X., Yang, F., Zheng, J. Ground penetrating radar weak signals denoising via semi-soft threshold empirical wavelet transform. road security, ground penetrating radar, empirical wavelet transform, signal denoising, threshold function 24, 2, 207-213 https://doi.org/10.18280/isi.240213 Qiao, X., Yang, F., Zheng, J. (2019). Ground penetrating radar weak signals denoising via semi-soft threshold empirical wavelet transform. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 207-213. https://doi.org/10.18280/isi.240213 683 Bouzidi, A., Haddar, N., Haddar, K. Traceability and synchronization between BPMN and UML use case models alignment, traceability, synchronization, model integration, BPMN, use case model, integration mechanism, model transformations 24, 2, 215-228https://doi.org/10.18280/isi.240214 Bouzidi, A., Haddar, N., Haddar, K. (2019). Traceability and synchronization between BPMN and UML use case models. IngĂ©nierie des SystĂšmes dâInformation, Vol. 24, No. 2, p. 215-228. https://doi.org/10.18280/isi.240214 684 El-Feky S.F., Abou-El-Enien T.H.M. Hybrid algorithm for rough multi-level multi-objective decision making problems compromise programming, rough programming, topsis method, global criterion method, multi-objective programming, multi-level programming 24, 1, 1-17 https://doi.org/10.18280/isi.240101 El-Feky S.F., Abou-El-Enien T.H.M. (2019). Hybrid algorithm for rough multi-level multi-objective decision making problems, Ingenierie des Systemes d'Information, Vol. 24, No. 1, p. 1-17. https://doi.org/10.18280/isi.240101 685 Khonde S.R., Venugopal U. Hybrid architecture for distributed intrusion detection system ensemble, feature selection, naĂŻve bayes, random forest, intrusion detection, ids, network security 24, 1, 19-28https://doi.org/10.18280/isi.240102 Khonde S.R., Venugopal U. (2019). Hybrid architecture for distributed intrusion detection system, Ingenierie des Systemes d'Information, Vol. 24, No. 1, p. 19-28. https://doi.org/10.18280/isi.240102 686 Zhang D.S., Tan J., Tian H., Wang Z.Z., Guo W.J. Aquifer parameter inversion by artificial fish swarm algorithm based on quantum theory quantum computing, artificial fish swarm algorithm (AFSA), hydrogeological parameter 24, 1, 29-33https://doi.org/10.18280/isi.240103 Zhang D.S., Tan J., Tian H., Wang Z.Z., Guo W.J. (2019). Aquifer parameter inversion by artificial fish swarm algorithm based on quantum theory, Ingenierie des Systemes d'Information, Vol. 24, No. 1, p. 29-33. https://doi.org/10.18280/isi.240103 687 Cai F., Mou X.H., Zhang X., Chen J., Li J., Xu W.P. Network adjacency matrix blocked- compressive sensing: a novel algorithm for link prediction compressive sensing (CS), measurement matrix, adjacency matrix, link prediction, subspace pursuit (SP) 24, 1, 35-42https://doi.org/10.18280/isi.240104 Cai F., Mou X.H., Zhang X., Chen J., Li J., Xu W.P. (2019). Network adjacency matrix blocked-compressive sensing: a novel algorithm for link prediction, Ingenierie des Systemes d'Information, Vol. 24, No. 1, p. 35-42. https://doi.org/10.18280/isi.240104 688Lenin K. Brachytrupes algorithm for solving optimal reactive power problem optimal reactive power, real power, transmission loss, brachytrupes 24, 1, 43-46https://doi.org/10.18280/isi.240105 Lenin K. (2019). Brachytrupes algorithm for solving optimal reactive power problem, Ingenierie des Systemesd'Information, Vol. 24, No. 1, p. 43-46. https://doi.org/10.18280/isi.240105 689 Praveena K., Sirisha G., Babu S.S., Rao P.S. Efficient method in association rule hiding for privacy preserving with data mining approach confidence, support, association rules, item sets, data mining, association rules, privacy preservation, sensitive association rules 24, 1, 47-50https://doi.org/10.18280/isi.240106 Praveena K., Sirisha G., Babu S.S., Rao P.S. (2019). 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Evaluation of third-party reverse logistics providers based on extension superiority method Third-party Reverse Logistics (3PRL) Providers, Evaluation Index System, Extension Superiority Method (ESM) 24, 1, 101-105https://doi.org/10.18280/isi.240115 Dong B.K., Zhu X.N., Yan R., Zhang C.L. (2019). Evaluation of third-party reverse logistics providers based on extension superiority method, Ingenierie des Systemes d'Information, Vol. 24, No. 1, p. 101-105. https://doi.org/10.18280/isi.240115 699Nagamani C., Chittineni S. Efficient neighborhood density based outlier detection inside a sub network with high dimensional data anomaly detection, network, semi-network, density based, outliers, high dimensional data 24, 1, 107-111 https://doi.org/10.18280/isi.240116 Nagamani C., Chittineni S. (2019). 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Secured data storage with users validation in cloud environment privacy, encryption, decryption, cloud registering, security, Trusted Authenticator (TA), energy consumption, energy reduction 23, 6, 61-72https://doi.org/10.3166/ISI.23.6.61-72 Gangadharaiah, N.K.C., Chinnasamy, C. (2018). Secured data storage with users validation in cloud environment. IngĂ©nierie des SystĂšmes dâInformation, Vol. 23, No. 6, p. 61-72. https://doi.org/10.3166/ISI.23.6.61-72 707Li, L.X., Gao, J., Liu, Y.F. Opti-SW: An improved gene sequence alignment algorithm Gene Sequence Alignment, Smith- Waterman (SW) Algorithm, Optimization, Opti-SW 23, 6, 73-85https://doi.org/10.3166/ISI.23.6.73-85 Li, L.X., Gao, J., Liu, Y.F. (2018). Opti-SW: An improved gene sequence alignment algorithm. IngĂ©nierie des SystĂšmes dâ Information, Vol. 23, No. 6, p. 73-85. https://doi.org/10.3166/ISI.23.6.73-85 708 Gopi, A.P., Lakshman Narayana, V., Ashok Kumar, N. 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Studies with collaborative scenarios. IngĂ©nierie des SystĂšmes dâInformation, Vol. 23, No. 2, p. 111-135. https://doi.org/10.3166/isi.23.2.111-135 738 Ponsard, C., Touzani, M., Majchrowski, A. How to conduct big data projects: Methods overview and industrial feedback adoption process, agile methods, big data, case study, projet management 23, 1, 9-33https://doi.org/10.3166/ISI.23.1.9-33 Ponsard, C., Touzani, M., Majchrowski, A. (2018). How to conduct big data projects: Methods overview and industrial feedback. IngĂ©nierie des SystĂšmes dâInformation, Vol. 23, No. 1, p. 9-33. https://doi.org/10.3166/ISI.23.1.9-33 739 Miralles, A., Huchard, M., Carbonnel, J., Nebut, C. Union and intersection of models for information systems analysis class model, class model integration, class model intersection, class model matching, class model union, formal concept analysis, information system, UML 23, 1, 35-62 https://doi.org/10.3166/ISI.23.1.35-62 Miralles, A., Huchard, M., Carbonnel, J., Nebut, C. (2018). Union and intersection of models for information systems analysis. IngĂ©nierie des SystĂšmes dâInformation, Vol. 23, No. 1, p. 35-62. https://doi.org/10.3166/ISI.23.1.35-62 740 Fredj, F.B., Lammari, N., Comyn-Wattiau, I. Anonymizing data by generalization. A guided method anonymization, guidance, methodology, model-driven approach, ontology, privacy, security 23, 1, 63-87https://doi.org/10.3166/ISI.23.1.63-87 Fredj, F.B., Lammari, N., Comyn-Wattiau, I. (2018). Anonymizing data by generalization. A guided method. IngĂ© nierie des SystĂšmes dâInformation, Vol. 23, No. 1, p. 63-87. https://doi.org/10.3166/ISI.23.1.63-87 741Mothe, J., Rakotonirina, A.J. Contextual collaborative filtering. A LDA-based approach collaborative filtering, hybrid recommender system, information retrieval, information systems, latent dirichlet allocation, recommender systems 23, 1, 89-109 https://doi.org/10.3166/ISI.23.1.89-109 Mothe, J., Rakotonirina, A.J. (2018). Contextual collaborative filtering. A LDA-based approach. IngĂ©nierie des SystĂšmes dâ Information, Vol. 23, No. 1, p. 89-109. https://doi.org/10.3166/ISI.23.1.89-109 742 Ferrouk, M., Boubekeur, F., Belkacemi, L. Influence dans Twitter. DĂ©finition et utilisation en recherche dâinformation influence, twitter social network, social information retrieval, pagerank. 22, 6, 9-36 https://doi.org/10.3166/isi.22.6.9-36 Ferrouk, M., Boubekeur, F., Belkacemi, L. (2017). Influence dans Twitter. DĂ©finition et utilisation en recherche dâ information. IngĂ©nierie des SystĂšmes dâInformation, Vol. 22, No. 6, p. 9-36. https://doi.org/10.3166/isi.22.6.9-36 743 Othman, R., Belkaroui, R., Faiz, R. Nouvelle approche anaphorique pour le rĂ©sumĂ© automatique des textes dâ opinions dans les tweets opinion summarization, twitter, conversations, anaphora resolution 22, 6, 37-51https://doi.org/10.3166/isi.22.6.37-51 Othman, R., Belkaroui, R., Faiz, R. (2017). Nouvelle approche anaphorique pour le rĂ©sumĂ© automatique des textes dâopinions dans les tweets. IngĂ©nierie des SystĂšmes dâInformation, Vol. 22, No. 6, p. 37-51. https://doi.org/10.3166/isi.22.6.37-51 744Abel, M.H., Saleh, M. MEMORAe : un systĂšme dâinformation support dâun Ă©co-systĂšme apprenant learning ecosystem, organizational learning, knowledge management, collaborative platform 22, 6, 53-69 https://doi.org/10.3166/isi.22.6.53-69 Abel, M.H., Saleh, M. (2017). MEMORAe: un systĂšme dâ information support dâun Ă©co-systĂšme apprenant. IngĂ©nierie des SystĂšmes dâInformation, Vol. 22, No. 6, p. 53-69. https://doi.org/10.3166/isi.22.6.53-69 745 Bouzayane, S., Saad, I., Kassel, G., Gargouri, F. Recommandation basĂ©e sur lâaide multicritĂšre Ă la dĂ©cision pour personnaliser lâĂ©change dâinformation recommender system, information exchange, support process, knowledge transfer, leader learner, MOOC 22, 6, 71-91https://doi.org/10.3166/isi.22.6.71-91 Bouzayane, S., Saad, I., Kassel, G., Gargouri, F. (2017). Recommandation basĂ©e sur lâaide multicritĂšre Ă la dĂ©cision pour personnaliser lâĂ©change dâinformation. IngĂ©nierie des Syst Ăšmes dâInformation, Vol. 22, No. 6, p. 71-91. https://doi.org/10.3166/isi.22.6.71-91 746 Arru, M., Negre, E., Rosenthal- Sabroux, C. Alerter ou ne pas alerter ? Une intĂ© gration de connaissances sur les comportements des populations dans les systĂšmes dâalerte warning systems, data analysis, behaviors, populations, knowledge 22, 6, 93-117https://doi.org/10.3166/isi.22.6.93-117 Arru, M., Negre, E., Rosenthal-Sabroux, C. (2017). Alerter ou ne pas alerter? 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