Peer Review Policy

International Journal of AI, Machine Learning & Data Science (IJAIMLDS)

The International Journal of AI, Machine Learning & Data Science (IJAIMLDS) follows a double-blind peer review process to ensure fairness, objectivity, transparency, and high academic standards.

Review Model

  • IJAIMLDS uses a double-blind review system, in which the identities of authors and reviewers are concealed from each other.

  • Each manuscript is evaluated by at least two independent reviewers.

  • Additional reviewers may be invited when specialized expertise is required.

Selection of Reviewers

  • Reviewers are selected based on their subject expertise, research background, and publication experience.

  • Reviewers with conflicts of interest are not assigned to the manuscript.

  • Authors may suggest potential reviewers; however, the final selection remains at the discretion of the editors.

Review Criteria

Manuscripts are evaluated based on the following criteria:

  • Originality and significance of the research

  • Technical quality, rigor, and clarity of presentation

  • Appropriateness of research design and methodology

  • Validity and interpretation of results

  • Contribution to the fields of artificial intelligence, machine learning, and data science

  • Proper citation practices and ethical compliance

Editorial Decisions

Based on reviewer recommendations, the editor may issue one of the following decisions:

  • Accept

  • Minor revisions required

  • Major revisions required

  • Reject

The final decision rests with the editorial team.

Revisions

  • Authors must submit a detailed, point-by-point response addressing all reviewer comments.

  • Revised manuscripts may be sent for additional rounds of review when necessary.

Confidentiality

  • All submitted manuscripts, reviewer reports, and editorial communications are treated as strictly confidential.

  • Reviewers must not disclose, share, or use manuscript content for personal or professional purposes.

Research Misconduct

  • Manuscripts involving plagiarism, data fabrication, falsification, or unethical research practices are rejected immediately.

  • Serious violations may result in author blacklisting and notification of the authors’ institutions.

IJAIMLDS is committed to maintaining the highest standards of ethical publishing and rigorous peer review.

Peer Review Workflow