International Journal of Electrical, Electronics and Computer Systems Vol. 14 No. 2 (2025)

Vol. 14 No. 2 (2025)

International Journal of Electrical, Electronics and Computer Systems is committed to publishing high-quality, peer-reviewed research that advances knowledge and improves outcomes worldwide.

November 13, 2025

ISSN (Print) 2582-5995

E-ISSN (Online) 2347-2820

DOI Prefix 10.65521

Published on 2025-11-13

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Articles

01

Women Safety Mobile Application Using ESP32 Camera and Real-Time Crime Data Analysis

Awantika Thawale, Hiranshi Pal, Muskan Thakur, Mansi Anil Bhave, Pavithra Asokan, Manisha Amnerkar pp. 1-8

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02

Deep Learning and Optimization Approaches in Environmental Weather Monitoring and Prediction System Using IoT and Multi-Model Progressive Dense Self-Attention: A Review

Liron Xuemin pp. 9-16

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03

Deep Learning and Optimization Approaches in Smart Healthcare Patient Monitoring System for IoT-Based Healthcare System Using Enhanced Residual Multi-Scale Diverged Self-Attention Network: A Review

Lishan Okafor pp. 17-25

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04

Deep Learning and Optimization Approaches in Task Scheduling and Computing Resource Allocation for VR Video Services in Advanced 6G Networks: A Review

Tirgani Pavlidaki pp. 26-31

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05

Deep Learning and Optimization Approaches in Graph Neural Networks with Optimized Attention Long-Range CNN for Traffic Prediction and Resource Allocation in 6G Wireless Systems: A Review

Behruz Gopalkrishnan pp. 32-40

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06

Deep Learning and Optimization Approaches in Semantic Segmentation and Classification for Ovarian Cancer Detection Using EfficientNetB0 with FPN and Causal Dilated Convolutional Neural Networks: A Review

Edvinas Yamashiro pp. 41-48

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07

Deep Learning and Optimization Approaches in Segmentation and Classification of Renal Tumors Using EfficientNet-Based U-Net and Epistemic Neural Networks: A Review

Chaminda Balasingam pp. 49-55

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08

Deep Learning and Optimization Approaches in Segmentation and Classification of White Blood Cancer Cells in Bone Marrow Microscopic Images Using Deep Kronecker Neural Networks: A Review

Galadriel Gopalkrishnan pp. 56-62

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09

Deep Learning and Optimization Approaches in Secure AI for 6G Mobile Devices: Deep Kronecker Neural Network Optimized with Hybrid Cat Hunting Optimization to Combat Side-Channel Attacks: A Review

Khaldun Mulyadi pp. 63-68

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10

A Comprehensive Review of Distributed Barrier Functions for Preventing Routing Manipulation: Security Models, Optimization Techniques, and Emerging Computing Applications

D. J. Williams, M. Ivanov, C. Ferreira pp. 69-76

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11

A Comprehensive Review of Graph Neural Networks for Malware Classification Pipelines: Architectures, Robustness, and Intelligent Security Applications

Daniel J. Williams, Mikhail Ivanov, Carlos Ferreira pp. 77-84

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12

A Systematic Review of Combinatorial Testing Strategies for Cross-Border E-Commerce Platforms: Methods, Architectures, and Future Research Directions

T. K. Evans, V. Popescu, S. Ahmed pp. 85-93

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13

A Systematic Review of Graph-Partition-Based Attack Mitigation in Dense Mesh Networks: Methods, Architectures, and Future Research Directions

Daniel J. Williams, Mikhail Ivanov, Carlos Ferreira pp. 94-104

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14

A Systematic Review of Graph-Theoretic Approaches to Post-Quantum Cryptographic Protocols: Methods, Architectures, and Future Research Directions

T. K. Evans, V. Popescu, S. Ahmed pp. 105-115

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15

A Systematic Review of Algebraic Curve Constructions for Lightweight Key Establishment: Methods, Architectures, and Future Research Directions

Daniel J. Williams, Mikhail Ivanov, Carlos Ferreira pp. 116-127

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16

A Systematic Review of Multiscale Mathematical Modelling of Cellular Mechan transduction Signalling: Methods, Architectures, and Future Research Directions

Daniel J. Williams, Mikhail Ivanov, Carlos Ferreira pp. 128-139

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17

A Systematic Review of Hyperbolic PDE models for dynamo-type magnetic field behaviour: Methods, Architectures, and Future Research Directions

Daniel J. Williams, Mikhail Ivanov, Carlos Ferreira pp. 140-150

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18

A Systematic Review of Hybrid dynamical system models for human–robot interaction: Methods, Architectures, and Future Research Directions

T. K. Evans, V. Popescu, S. Ahmed pp. 151-161

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19

A Review of Temperature-Dependent Encryption Scaling in IoT Chipsets: Intelligent Modeling, Electronics Integration, and Real-World Applications

T. K. Evans, V. Popescu, S. Ahmed pp. 162-168

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20

A Systematic Review of Hybrid Symbolic–Neural Models for Protocol Misuse Detection

Daniel J. Williams, Mikhail Ivanov, Carlos Ferreira pp. 169-177

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21

A Comprehensive Review of IoT Edge Gateways: Models, Methods, and Emerging Applications

T. K. Evans, V. Popescu, S. Ahmed pp. 178-190

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22

A Systematic Review of Mathematical Modelling of Epigenetic Regulatory Mechanisms in Gene Expression: Methods, Architectures, and Future Research Directions

T. K. Evans, V. Popescu, S. Ahmed pp. 191-201

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23

A Comprehensive Review of Secure Aggregation of Environmental Data via Error-Bounded Encoding: Security Models, Optimization Techniques, and Emerging Computing Applications

Daniel J. Williams, Mikhail Ivanov, Carlos Ferreira pp. 208-218

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24

A Systematic Review of Topology-Based Models for Protein–Protein Interaction Networks: Methods, Architectures, and Future Research Directions

T. K. Evans, V. Popescu, S. Ahmed pp. 209-220

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25

A Comprehensive Review of Resource-Constrained Encryption Design with Hospital Information Systems: Security Models, Optimization Techniques, and Emerging Computing Applications

T. K. Evans, V. Popescu, S. Ahmed pp. 221-229

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26

Ethical AI Frameworks for Bias Detection and Fairness Optimization in Machine Learning Systems

Myeong Dahalbahadur pp. 230-238

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27

Contextual Embedding-Based Natural Language Processing Models for Sentiment Analysis and Opinion Mining

Kaoru Okafor pp. 239-247

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28

Hybrid CNN–Transformer Architectures for Computer Vision-Based Medical Image Segmentation

Isandro Hathurusinghe pp. 248-256

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29

Reinforcement Learning-Based Autonomous Multi-Agent Systems for Cooperative Task Allocation and Optimization

Thabo Khatibullah pp. 257-272

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30

Deep Unfolding and Residual Attention Networks for Alzheimer’s Disease Detection Using Central Lobe EEG Signals

Adonias Mardaniyan pp. 273-279

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31

AI-Based Resource Allocation and Task Scheduling Using Hierarchical Polynomial Convolutional Neural Networks

Myeong Al-Shammari pp. 280-287

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32

A Comprehensive Review of Deep Recursive Self-Attention Modules: MANET-Based Integrated Sensor System for Disaster Detection and Communication in Hazardous Environments

Branislav Rafizadeh pp. 288-296

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33

Deep Learning and Riemannian Residual Networks for Energy-Efficient Precision Agriculture Monitoring

Branislav Qudratullah pp. 297-305

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34

Spatio-Temporal Graph Neural Networks for IoT-Based Continuous Cardiac Health Monitoring Systems

Chatmanee Wannenmacher pp. 306-314

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35

Recent Advances in Hybrid Transformer based Gated Graph Attention Capsule Network Design for Preventing Attack in Radar Target Detection: A Systematic Review

Yazmin Zuberiwala pp. 315-323

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36

Energy-Efficient Quantum CNN and Attention Models for WSN-Assisted IoT Medical Diagnostics

Haemi Saeedzada pp. 324-330

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37

A Comprehensive Review of Secure and Energy-Efficient MRI Image Transmission via IoT Devices and Hybrid Physics-Guided Neural Networks

Jovencio Somanathan pp. 331-338

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38

Deep Learning and Optimization Approaches in IoT-Based Breast Cancer Detection with Bayesian Quantized Neural Networks Using Energy-Efficient WSN: A Review

Indivar Varathan pp. 339-346

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39

A Survey of Methods and Architectures for Hybrid Graph Neural Networks for Wearable IoT Monitoring Systems with Adaptive Algorithms and Energy-Efficient WSN Integration

Khaldun Nasution pp. 347-353

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40

Recent Advances in Optimizing Electric Vehicle Charging with Parallel Convolutional Neural Network: Coordinating Smart Grids and Intelligent Transportation Systems: A Systematic Review

Branislav Braginskaya pp. 354-361

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41

AI-Based Energy Management for Grid-Isolated EV Charging in Smart Microgrid Systems

Haemi Leroux-Martin pp. 362-369

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