Vol. 1 No. 2 (2026)
This issue presents a collection of contemporary research advancing the frontiers of artificial intelligence, machine learning, cybersecurity, healthcare informatics, and intelligent computational systems. The research addresses trustworthy and responsible AI for neurological disease detection, transformer-based EEG signal enhancement, AI-driven cybersecurity and digital forensics, privacy-preserving federated healthcare, model-free control, evolutionary intelligence, and game-theoretic learning. Further studies examine computational structure optimization, neural sequence modeling, reliability in retrieval-augmented generation agents, and multi-agent approaches to enterprise knowledge retrieval. Collectively, this issue highlights emerging methodologies that promote intelligent, secure, reliable, and practically applicable computational solutions across diverse domains.
Published: 2026-09-18