Enhancing Classification Accuracy through Cluster-Based Ensemble Learning and Adaptive Weighting

Hybridizing of Multi-Objective Coronavirus Herd Immunity Optimizer with Lévy Flight for Time Scheduling of Internet of Things Appliances in Smart Homes

The Lying Honeypot: An AI-Driven Cyber Deception Framework for Behavioral Threat Intelligence and Attacker Profiling

AEGIS-BCO: a federated graph–temporal intelligence framework with outcome-aware multi-criteria decision making for proactive cybersecurity against evolving DDoS threats

Hybrid EEG Feature Fusion Framework for Accurate Autism Spectrum Disorder Diagnosis Using Ensemble Learning

EMBER-Based Static Malware Detection: A Critical Review of Accuracy, Explainability, and Temporal Robustness Trade-offs