About the Journal

International Journal of Artificial Intelligence, Machine Learning and Data Analytics (IJAIMDA)

The International Journal of Artificial Intelligence, Machine Learning and Data Analytics (IJAIMDA) is a peer-reviewed, open-access scholarly Online journal established in 2026. The journal publishes original research articles, review papers, and methodological contributions in the fields of Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics. IJAIMDA is committed to promoting high-quality, innovative, and reproducible research that advances both theoretical foundations and practical applications of intelligent systems.

The journal is published biannually, with two issues per year, providing an international platform for researchers, academicians, industry professionals, and practitioners to disseminate significant scientific contributions and foster interdisciplinary collaboration.

Scope

IJAIMDA welcomes high-quality submissions covering theoretical developments, innovative methodologies, experimental studies, and real-world applications in Artificial Intelligence, Machine Learning, and Data Analytics. The journal particularly encourages research that demonstrates scientific rigor, practical impact, reproducibility, and interdisciplinary innovation.

Topics of interest include, but are not limited to:

  • Artificial Intelligence and Computational Intelligence
  • Machine Learning Algorithms and Applications
  • Deep Learning and Neural Networks
  • Reinforcement Learning
  • Data Science and Big Data Analytics
  • Natural Language Processing
  • Computer Vision and Image Processing
  • Pattern Recognition
  • Intelligent Decision Support Systems
  • Predictive Analytics and Business Intelligence
  • Explainable, Ethical, and Responsible AI
  • Robotics and Autonomous Systems
  • Internet of Things (IoT) and Intelligent Systems
  • Knowledge Representation and Reasoning
  • AI for Healthcare, Education, Agriculture, Finance, and Smart Cities
  • Human–AI Interaction
  • Data Mining and Information Retrieval
  • Cybersecurity and AI Applications
  • Cloud Computing and Edge Intelligence
  • Emerging Trends in Artificial Intelligence and Data Analytics

Interdisciplinary research and application-oriented studies addressing contemporary scientific and industrial challenges are especially encouraged.

Peer Review Process

All manuscripts submitted to IJAIMDA undergo a rigorous double-blind peer-review process. Each submission is evaluated by independent experts in the relevant field based on originality, technical quality, methodological soundness, significance, clarity of presentation, and relevance to the journal's scope.

Editorial decisions are made based on reviewers' recommendations and the judgment of the Editorial Board, ensuring a fair, transparent, and unbiased review process.

Publication Ethics

IJAIMDA is committed to maintaining the highest standards of publication ethics and academic integrity. Authors must submit original, unpublished work that is not under consideration elsewhere and must appropriately acknowledge all sources.

The journal upholds the following principles:

  • Integrity and transparency in research and publication
  • Originality and avoidance of plagiarism
  • Proper citation and referencing practices
  • Disclosure of conflicts of interest
  • Ethical conduct in research involving human participants, animals, or sensitive data
  • Fair and unbiased peer review
  • Compliance with internationally recognized publication ethics guidelines

Open Access Policy

IJAIMDA follows a fully open-access publishing model, ensuring immediate and unrestricted access to all published articles. Readers may freely read, download, distribute, and share published content for academic and non-commercial purposes with appropriate attribution to the original authors.

Indexing and Abstracting

The journal is currently indexed in Google Scholar. Applications for inclusion in additional national and international indexing and abstracting databases will be pursued as the journal continues to develop and meet the required quality standards.

Aim

The primary aim of IJAIMDA is to advance knowledge and innovation in Artificial Intelligence, Machine Learning, and Data Analytics by publishing high-quality, peer-reviewed research that contributes to scientific progress and practical technological solutions. The journal seeks to facilitate collaboration among researchers, educators, industry professionals, and policymakers while promoting the responsible development and application of intelligent technologies.

Publication Frequency

IJAIMDA is published biannually, with two issues released each year at regular intervals.

Current Issue

Vol. 1 No. 1 (2026): January-June
Published: 2026-07-22

Articles

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