Most Recent Additions*
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
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
Swarm-Calibrated Ordinal Forests for Risk-Aware Forecasting in Non-Stationary Intraday Financial Time Series
Ahmed S. Salama and Ahmad M. Nagm
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
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
Evaluation of Deep Learning Techniques for Intrusion Detection in Cybersecurity
Doaa El-Shahat, Mohamed Mahmoud Abdelaziz, Waseem Akram, and Muhammad Jabir Khan
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
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
Recoverable Agentic AI for Communication Networks: A Survey of Architectures, Trust Regulation, and Failure Recovery
Omar K. Dawoud and Osama A. Ghoneim
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
A Comparative Study of Deep Learning Models for Water Quality Prediction
Doaa El-Shahat and Mohamed Ismail
Deep Learning in Precision Agriculture: A Systematic Review of Methods, Datasets, and Applications
Mariam Ahmed
An Enhanced Optimization Algorithm for Estimating PEM Fuel Cells Parameters: Performance Comparison and Real-World Applicability
Ibrahim Alrashdi and Karam M. Sallam
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
RF-ET-ANN: Hybrid Machine Learning Model for Forecasting Short-Term Photovoltaic Power Production
Walid Abdullah, Ahmed Ismail Ebada, and Mohamed Abouhawwash
High-Performance Deep Learning Techniques for Plant Disease Detection: Performance Analysis, Validation, and Applications
Doaa El-Shahat and Ahmed Elmasry
A Neutrosophic Homological-Gröbner Framework for AI-Driven media Education Evaluation
Mona Gharib, Hafiz Muhammad Athar Farid, José M. Merigó, and Muhammad Riaz
The m-Clean Graph of a Finite Commutative Ring
Susan F. El-Deken, Harald Fripertinger, and Aya Gamal
Agentic AI in 6G Wireless Security: Methods, Applications, and Challenges
Zekra Sakr and Mona Mohamed
*Updated as of 10/11/26.