A Computer Vision and Transformer-Based Framework for Short-Term Energy Consumption Forecasting in Smart Grids

110-121

Zero-training: Pretrained Foundation Model for Limited Healthcare Tabular Datasets

14-22

Efficient Glaucoma Detection from Retinal Fundus Images Using a Lightweight DeiT-Small Vision Transformer and Test-Time Augmentation

AI-Powered Real-Time Surveillance: An Intelligent Threat Detection System for Security Enhancement

122-136

Enhancing Telecom Customer Churn Prediction Using Voting Ensemble Learning with SMOTE and ADASYN

23-35

CLEAR-IDS: Leakage-Free Adaptive Resampling and Diversity-Weighted Explainable Ensemble Learning for Network Intrusion Detection

215-241

Hybrid Deep Learning Framework for Brain Tumor Classification Using MRI Images

137-153

A Comprehensive Review: AI Techniques in Ophthalmic Imaging Analysis

36-69

Robust Trust Optimization in Social Graphs: Centrality-Aware GNNs with Genetic Optimization

242-252

Artificial Intelligence and Hybrid Optimization Approaches for Potential Evapotranspiration Modeling: A Narrative Review and Future Perspectives

154-165

A Comprehensive Review of SDN Intrusion Detection Using Ensemble Machine Learning

70-95

AgroYOLOvNext: A Multi-Scale Transformer-Enhanced YOLO Framework with Domain-Adaptive Learning for Real-Time Plant Disease Detection under Field Conditions

166-181

Risk Prediction in Cash-in-Transit Security Using Machine Learning: A Data-Driven Performance Evaluations

96-109

Adaptive Unscented Kalman Filter for Robust Localization in Ship Ad hoc Networks

1-13

A Socio-Climatic Deep Learning Framework for EV Charging Infrastructure Demand and Operational Stress Prediction under Extreme Arid Climates

182-201