About the Journal

JIADS covers a broad scope including (but not limited to): Artificial Intelligence and Machine Learning (deep learning, reinforcement learning, generative AI), Big Data and Cloud Computing (distributed systems, real-time analytics), Cybersecurity and Data Privacy (cryptography, privacy-preserving ML, blockchain), Natural Language Processing and Information Retrieval (multilingual systems, semantic search, intelligent chatbots), Computer Vision and Multimedia Analytics, Health Informatics and Bioinformatics, IoT and smart government/FinTech applications, and Explainable AI and data-science ethics. All submissions undergo double-blind peer review (at least two reviewers), and the journal follows international publication ethics (COPE).
ISSN: 3135-4467 (Online)