About the Journal

International Journal of Artificial Intelligence, Machine Learning and Data Analytics (IJAIMDA) is a peer-reviewed, open-access scholarly journal established in 2026. The journal publishes original research and review articles in the fields of Artificial Intelligence, Machine Learning, and Data Analytics, with an emphasis on methodological rigor, reproducibility, and practical relevance.

IJAIMDA is published on a quarterly basis, releasing four issues annually. The journal provides a structured platform for the dissemination of research that contributes to the advancement of intelligent systems and data-driven methodologies across academic and industrial domains.

Scope

The journal invites submissions in, but not limited to, the following areas:

  • Artificial Intelligence and Computational Intelligence
  • Machine Learning Algorithms and Applications
  • Deep Learning and Neural Networks
  • Data Science and Big Data Analytics
  • Natural Language Processing
  • Computer Vision and Pattern Recognition
  • Internet of Things (IoT) and Intelligent Systems
  • Decision Support Systems and Predictive Analytics
  • Robotics and Autonomous Systems
  • Ethical, Explainable, and Responsible AI

Submissions that demonstrate interdisciplinary approaches or real-world applications are particularly encouraged.

Peer Review Process

All manuscripts submitted to IJAIMDA undergo a double-blind peer review process. Each submission is assessed by independent reviewers with relevant expertise, based on criteria including originality, technical quality, clarity, and relevance to the journal’s scope.

Editorial decisions are made in accordance with reviewers’ evaluations and the recommendations of the editorial board.

Publication Ethics

The journal adheres to recognized standards of academic publishing and ethical practice. Authors are required to submit original, unpublished work and to ensure appropriate acknowledgment of sources.

IJAIMDA upholds:

  • Integrity and transparency in research and publication
  • Proper citation and referencing practices
  • Disclosure of conflicts of interest
  • Compliance with ethical guidelines in research and reporting

Open Access Policy

IJAIMDA follows an open-access publishing model, ensuring immediate and unrestricted access to all published articles. Readers are permitted to access, download, and share content for academic and non-commercial purposes with appropriate attribution.

Indexing and Abstracting

The journal is indexed in Google Scholar. Efforts are ongoing to meet the requirements for inclusion in additional indexing and abstracting databases.

Aim

The journal aims to support the dissemination of high-quality research in Artificial Intelligence, Machine Learning, and Data Analytics, and to facilitate knowledge exchange among researchers, practitioners, and industry professionals.

Publication Frequency

IJAIMDA is published quarterly, with four issues released each year at regular intervals.