Vol. 7 No. 2 (2026)

Published: 30-06-2026

Articles

Comparative Analysis of Test Case Prioritization Using Swarm Intelligence Algorithms to Enhance Fault Detection Rate and Execution Time

Nur Atiqah Wahidah Sulaiman, Nurezayana Zainal

1-16
- PDF 144
- Abstract View 75
Ensemble CNN Model for Detecting Rice Leaf Diseases by Integrating MobileNetV2 and EfficientNet-B1 Architectures

Kusworo Adi, Agus Setiadi, Catur Edi Widodo, Aris Puji Widodo, Resma Adi Nugroho, Aji Setiawan

17-29
- PDF 91
- Abstract View 72
Biomedical Knowledge Graph Construction Based on Embedding Models and Ontologies

Salah Edine ECH-CHORFI, Elmoukhtar Zemmouri

32-44
- PDF 44
- Abstract View 41
Leveraging Cellular Automata for Strip-Cut Document Reconstruction: A Path Travelling Salesman Problem Formulation

Abdallah S. Hyassat, Insaf Kraidia, Mosleh M.Abualhaj, Iyas Qaddara, Abdel latif Abu dalhoum

45-57
- PDF 57
- Abstract View 46
Closed-Source vs. Open-Weights Language Models: Accuracy, Stability, and Deployment Trade-Offs in Educational Assessment (GPT-4o vs. LLaMA 3.1)

Handaru Jati, Yuniar Indrihapsari, Susilo Romadhon, Pradana Setialana, Danang Wijaya , Satya Adhiyaksa Ardy

58-74
- PDF 51
- Abstract View 38
EduSign: A Multi-Modal Deep Learning Model for Educational Sign Language Recognition

Gurusiddappa Hugar, Dr. Ramesh M. Kagalkar

75-92
- PDF 96
- Abstract View 81
A Smart Water Distribution Network Management Framework based on Internet of Things and Reinforcement Learning Technologies

Mustafa Aljumaily, Ibraheem Aidan, Mustafa Aljumaily, Hussein Ali Mubarak AlMaqbali, Abdelrahman Hussein

93-106
- PDF 31
- Abstract View 40
Effect of Virtual Reality-Based Instruction on Student Learning Outcomes: An Experimental Study in Higher Education in Oman

Taher M. Ghazal

107-128
- PDF 31
- Abstract View 33
An Actor-Critic Deep Reinforcement Learning Model with Energy-Awareness and Latency Minimization for Dynamic Spectrum Allocation in 6G-Enabled Aerial Mobile Wireless Networks

Ghaida Muttashar Abdulsahib, Kholoud Alkayid, Muhammad Asshad, Ahmed A. F Osman, Mohammed Awad Mohammed Ataelfadiel, Ashraf Mahrous Nour Zaher

129-143
- PDF 20
- Abstract View 39
Secure Resource Allocation in IoT Environments Using Deep Reinforcement Learning-Based Adaptive Defenses

Amar A. Othman, Sedeeq Al-khazraji, Mahmood Siddeeq Qadir, Omar Almomani

144-162
- PDF 33
- Abstract View 57
Edge-Based Deep Learning for Population-Specific Blood Glucose Level Prediction in Type 1 Diabetes Mellitus

Farhanahani Mahmud, Ade Anggian Hakim, Kazuki Nakajima, Marlia Morsin, Chin Fhong Soon

163-183
- PDF 47
- Abstract View 49
Machine Learning and Deep Learning Approaches for Multi-Class Land Cover Classification Using High-Resolution Satellite Imagery

Ahmed Qusay Subhe, Muntadher Shareef, Sadra Karimzadeh

184-215
- PDF 34
- Abstract View 28
Blockchain-Enhanced Edge IIoT Framework with Graph Neural Networks for Real-Time Smart Grid Anomaly Detection

Yaseen Hikmat Ismaiel, Abeer Abdulkhalik Thanoon Alyoons, Shihab Hamad Khaleefah, Mahran Al-Zyoud

216-229
- PDF 26
- Abstract View 44
Blockchain-Enabled Federated Learning with Hybrid Deduplication for Privacy-Preserving Biomedical AI: A Multi-Modal Validation Study

Aliyu Garba, Norshakirah Aziz, Hitham Alhussian, Abdullahi Abubakar Imam, Dahiru Adamu Aliyu, Aminu Onimisi Abdulsalami, Ridwan Salahudden, Shamsudeen Adamu, Hussani Mamman, Ibrahim Muhammad Kurah

230-255
- PDF 41
- Abstract View 33
Transformer-Based Ensemble Learning for Robust Multi-Class Melanoma Classification

Deborah A. Adedigba, Raza Hasan, Salman Mahmood

256-277
- PDF 26
- Abstract View 93
Hybrid Edge–Cloud Deep Learning Framework for Real-Time Anomaly Detection in Industrial IoT Networks

Mohammad Nasar, Mohammad Abu Kausar

278-294
- PDF 49
- Abstract View 37
Energy-Based Multi-Objective Black Hole Optimization with Angle Quantization and Crowding Distance for Multi-Objective Optimization Problems

Zeyad Ibrahim Bakri, Salman Yussof, Nur Fadilah Ab Aziz, Mustafa Musa Jaber

295-329
- PDF 24
- Abstract View 23
CTFN: A Hybrid CNN-Transformer Fusion Network with Explainability and Uncertainty Estimation for Enhanced Lung Cancer Classification

Akshay Bhuvaneswari Ramakrishnan, Meenalosini Vimal Cruz, Karthikeyan S

330-348
- PDF 27
- Abstract View 50
Optimized Tsunami Vulnerability Area Classification using Hybrid Fuzzy-SVM Model Through Spatial Data Processing

Adi Susilo, Renaldi Primaswara Prasetya, Muhammad Fathur Rouf Hasan, Rizal Setya Perdana, Azizul Azhar Ramli, Rony Prianto Nugraha

349-370
- PDF 37
- Abstract View 48
A Multi-Model Ensemble Approach Using Deep and Traditional Learning for Autism Spectrum Disorder Classification

Dhafar Fakhry Hasan, Maha A. Abdul-Jabar, Mawadah Mohammed Suliman, Massila Kamalrudin

371-387
- PDF 23
- Abstract View 30
Analysis of Normalization, Resampling, and Weighted Voting to Improve k-NN Performance in Diabetes Disease Detection

Agustiyar, R. Rizal Isnanto, Budi Warsito, Adi Wibowo, Ferry Jie

388-402
- PDF 35
- Abstract View 28
Cyberthreat Forensics Using AI-Neutrosophic Reasoning for SQL Injection Detection in Web Applications

Ahmed A. Alghamdi

403-416
- PDF 15
- Abstract View 22
Hardware-Optimized Explainable Machine Learning for Fair Predictive Decision Making in Business Applications

Adel Saad Assiri

417-428
- PDF 12
- Abstract View 18
An Explainable Deep Learning Framework for Skin Cancer Diagnosis with Uncertainty Quantification on a Multi-Institutional Dataset

Haider Mshali, Aliaa Moualla, Malik Bader Alazzam

429-446
- PDF 9
- Abstract View 21
A Deep Learning-Based Decision Support System for Early Depression Screening from Multimodal Clinical Interviews

Mujtaba Zuhair Al-Amshawi, Inbithaq Ahmed Shakir, Wael Ali, Hesham A. Sakr, Muneera Altayeb, Ibrahim A. Gomaa

447-460
- PDF 34
- Abstract View 67

Vol. 7 No. 2 (2026)

Articles

Comparative Analysis of Test Case Prioritization Using Swarm Intelligence Algorithms to Enhance Fault Detection Rate and Execution Time

Ensemble CNN Model for Detecting Rice Leaf Diseases by Integrating MobileNetV2 and EfficientNet-B1 Architectures

Biomedical Knowledge Graph Construction Based on Embedding Models and Ontologies

Leveraging Cellular Automata for Strip-Cut Document Reconstruction: A Path Travelling Salesman Problem Formulation

Closed-Source vs. Open-Weights Language Models: Accuracy, Stability, and Deployment Trade-Offs in Educational Assessment (GPT-4o vs. LLaMA 3.1)

EduSign: A Multi-Modal Deep Learning Model for Educational Sign Language Recognition

A Smart Water Distribution Network Management Framework based on Internet of Things and Reinforcement Learning Technologies

Effect of Virtual Reality-Based Instruction on Student Learning Outcomes: An Experimental Study in Higher Education in Oman

An Actor-Critic Deep Reinforcement Learning Model with Energy-Awareness and Latency Minimization for Dynamic Spectrum Allocation in 6G-Enabled Aerial Mobile Wireless Networks

Secure Resource Allocation in IoT Environments Using Deep Reinforcement Learning-Based Adaptive Defenses

Edge-Based Deep Learning for Population-Specific Blood Glucose Level Prediction in Type 1 Diabetes Mellitus

Machine Learning and Deep Learning Approaches for Multi-Class Land Cover Classification Using High-Resolution Satellite Imagery

Blockchain-Enhanced Edge IIoT Framework with Graph Neural Networks for Real-Time Smart Grid Anomaly Detection

Blockchain-Enabled Federated Learning with Hybrid Deduplication for Privacy-Preserving Biomedical AI: A Multi-Modal Validation Study

Transformer-Based Ensemble Learning for Robust Multi-Class Melanoma Classification

Hybrid Edge–Cloud Deep Learning Framework for Real-Time Anomaly Detection in Industrial IoT Networks

Energy-Based Multi-Objective Black Hole Optimization with Angle Quantization and Crowding Distance for Multi-Objective Optimization Problems

CTFN: A Hybrid CNN-Transformer Fusion Network with Explainability and Uncertainty Estimation for Enhanced Lung Cancer Classification

Optimized Tsunami Vulnerability Area Classification using Hybrid Fuzzy-SVM Model Through Spatial Data Processing

A Multi-Model Ensemble Approach Using Deep and Traditional Learning for Autism Spectrum Disorder Classification

Analysis of Normalization, Resampling, and Weighted Voting to Improve k-NN Performance in Diabetes Disease Detection

Cyberthreat Forensics Using AI-Neutrosophic Reasoning for SQL Injection Detection in Web Applications

Hardware-Optimized Explainable Machine Learning for Fair Predictive Decision Making in Business Applications

An Explainable Deep Learning Framework for Skin Cancer Diagnosis with Uncertainty Quantification on a Multi-Institutional Dataset

A Deep Learning-Based Decision Support System for Early Depression Screening from Multimodal Clinical Interviews

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