Content Posted in 2026
A Comparative Study of Deep Learning Models for Water Quality Prediction, Doaa El-Shahat and Mohamed Ismail
ADASEL: Adaptive Attention-Based Stacked Ensemble Learning With Explainable AI Framework for Earthquake Alert Level Classification System, Alaa Desukey and Ahmed M. AbdelMouty
AI-Driven Prognostics for PEM Fuel Cells Using Optimized Machine Learning and Deep Learning Models for Accurate Lifetime Prediction, Walid Abdullah, Reda Mohamed, Ibrahim Alrashdi, Mohamed Abdel-Basset, and Mahmoud Mahdi
An Enhanced Optimization Algorithm for Estimating PEM Fuel Cells Parameters: Performance Comparison and Real-World Applicability, Ibrahim Alrashdi and Karam M. Sallam
A Neutrosophic Homological-Gröbner Framework for AI-Driven media Education Evaluation, Mona Gharib, Hafiz Muhammad Athar Farid, José M. Merigó, and Muhammad Riaz
Anti-Fuzzy Hypergraphs and Superhypergraphs: Max-Oriented Uncertainty Models for Higher-Order and Hierarchical Networks, Takaaki Fujita, Ajoy Kanti Das, Suman Das, and Sankar Prasad Mondal
Deep Learning in Precision Agriculture: A Systematic Review of Methods, Datasets, and Applications, Mariam Ahmed
Evaluation of Deep Learning Techniques for Intrusion Detection in Cybersecurity, Doaa El-Shahat, Mohamed Mahmoud Abdelaziz, Waseem Akram, and Muhammad Jabir Khan
Explainable Deep Learning for Forensic Wound Analysis: A Survey of Injury Classification, Gunshot Wound Interpretation, and Toward Court-Admissible AI, Zakaria Ahmed and Zeshan Aslam Khan
GNMSA: An Accurate Parameter Estimation of Semi-empirical Proton Exchange Membrane Fuel Cells Model using A Hybrid Artificial Intelligence–Based Optimization Approach, Dina Atef, Doaa El-Shahat, Hafiz Burhan ul Haq, Zaka Ur Rehman, and Muhammad Nauman Irshad
HAF-BiTrans: A Heterogeneity-Aware Federated BiLSTM-Transformer Framework for Privacy-Preserving Detection of Multi-Stage APT Behaviors in IoT Networks, Tareef S Alkellezli and Nariman A. Khalil
High-Performance Deep Learning Techniques for Plant Disease Detection: Performance Analysis, Validation, and Applications, Doaa El-Shahat and Ahmed Elmasry
Leakage-Safe Boosting Ensembles With SHAP Explainability for Alzheimer's Disease Risk Prediction: A Rigorous Multi-Classifier Benchmark on Global Structured Clinical Data, Hadeer Mahmoud and Fady Salama
Recoverable Agentic AI for Communication Networks: A Survey of Architectures, Trust Regulation, and Failure Recovery, Omar K. Dawoud and Osama A. Ghoneim
RF-ET-ANN: Hybrid Machine Learning Model for Forecasting Short-Term Photovoltaic Power Production, Walid Abdullah, Ahmed Ismail Ebada, and Mohamed Abouhawwash
Swarm-Calibrated Ordinal Forests for Risk-Aware Forecasting in Non-Stationary Intraday Financial Time Series, Ahmed S. Salama and Ahmad M. Nagm
Toward Trustworthy AI-Enabled Smart Healthcare: A Multi-Layer Taxonomy of Data Modalities, Model Families, Clinical Applications, and Real-World Deployment Challenges, E. A. Zanaty and Asmaa H. Abd El-Rahiem
Type-2 and Type-n Rough Sets: A Hierarchical Generalization of Pawlak Approximations with some Applications", Takaaki Fujita, Ajoy Kanti Das, Suman Das, and Sankar Prasad Mondal