About the Journal

Bayanika Journal of Artificial Intelligence and Data Science is an open access, peer-reviewed scholarly journal dedicated to advancing high-quality research in artificial intelligence, machine learning, data science, intelligent systems, computational intelligence, and related interdisciplinary applications. The journal provides an academic platform for researchers, lecturers, practitioners, graduate students, and professionals to disseminate original theories, models, algorithms, frameworks, systems, and empirical studies that contribute to the development of intelligent and data-driven science.

The journal welcomes original research articles, review articles, systematic literature reviews, methodological papers, applied research papers, and technical studies addressing both theoretical and practical aspects of artificial intelligence and data science. Its scope includes, but is not limited to, machine learning, deep learning, data mining, big data analytics, explainable artificial intelligence, fuzzy systems, soft computing, natural language processing, computer vision, optimization, time series forecasting, decision support systems, and AI applications in health, education, business, engineering, social sciences, and public policy.

Bayanika Journal of Artificial Intelligence and Data Science emphasizes originality, methodological rigor, transparency, reproducibility, ethical compliance, and meaningful scholarly contribution. The journal particularly encourages manuscripts that do not merely apply standard computational techniques, but also provide clear novelty, robust analysis, interpretable findings, and relevant implications for the advancement of artificial intelligence and data science.

All manuscripts submitted to the journal undergo an initial editorial screening and peer review process to ensure that published articles meet the journal's scientific, ethical, and editorial standards. The journal is committed to maintaining editorial independence, responsible peer review, publication ethics, open access dissemination, and long-term scholarly visibility.

Published by Bayanika Academic Press, the journal is developed as part of a commitment to supporting credible, transparent, and internationally oriented scholarly publishing. Through this journal, Bayanika Academic Press aims to foster academic collaboration, promote innovation in intelligent computing and data-driven research, and contribute to the global development of artificial intelligence and data science.