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Vol. 1 No. 1 (2026): First Edition
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Open Access | Peer-Reviewed | Artificial Intelligence and Data Science

Advancing Intelligent and Data-Driven Research

Bayanika Journal of Artificial Intelligence and Data Science welcomes original, high-quality, and ethically conducted research in artificial intelligence, machine learning, data science, intelligent systems, computational intelligence, and interdisciplinary data-driven applications.

The journal provides a scholarly platform for researchers, lecturers, practitioners, and graduate students to publish innovative models, algorithms, frameworks, systems, reviews, and applied studies that contribute to the development of AI and data science.

Call for Papers

We invite submissions for upcoming issues in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Data Mining, Big Data Analytics, Explainable AI, Fuzzy Systems, Soft Computing, Computer Vision, Natural Language Processing, Optimization, Time Series Forecasting, Decision Support Systems, AI in Health, AI in Education, AI in Business, Responsible AI

  • Original Research Articles
  • Review Articles
  • Systematic Literature Reviews
  • Methodological Papers
  • Applied Research Papers
01

Rigorous Peer Review

Manuscripts are evaluated through editorial screening and peer review to ensure originality, methodological soundness, ethical compliance, and scholarly contribution.

02

Open Access Publishing

Published articles are freely accessible to readers, supporting wider dissemination, citation visibility, and responsible knowledge sharing.

03

AI and Data Science Focus

The journal focuses on artificial intelligence, machine learning, data science, intelligent systems, soft computing, and data-driven applications.

04

Ethical Scholarly Publishing

The journal is committed to publication ethics, editorial independence, transparency, authorship integrity, and responsible peer review.

Research Areas

The journal welcomes manuscripts in the following areas and related interdisciplinary fields:

Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Data Mining, Big Data Analytics, Explainable AI, Fuzzy Systems, Soft Computing, Computer Vision, Natural Language Processing, Optimization, Time Series Forecasting, Decision Support Systems, AI in Health, AI in Education, AI in Business, Responsible AI
Publishing ModelOpen Access
Review ModelPeer-Reviewed
LanguageEnglish
Frequency2 Issues per Year

Prepare Your Manuscript for Submission

Authors are encouraged to read the aims and scope, author guidelines, peer review process, publishing policies, and publication ethics statement before submitting a manuscript.