At IJMLAIDSE, we are committed to maintaining the highest standards of academic integrity and quality in every article published. Our peer review process ensures that only rigorous, original, and impactful research in Machine Learning, Artificial Intelligence, and Data Science is disseminated.
Step 1: Initial Submission
- Submission Acknowledgment: Authors receive confirmation upon submission.
- Preliminary Evaluation: Manuscript scope, formatting, and minimum quality standards are checked.
Step 2: Plagiarism Check
- Plagiarism Threshold: Manuscripts with over 20% similarity are not considered.
- Revised Submission: Authors must address similarity issues before peer review.
Step 3: Assignment to Editor
- Evaluate alignment with Machine Learning, AI, and Data Science scope.
- Decision to proceed to peer review or return/reject submission.
Step 4: Selection of Peer Reviewers
- Double-Blind Review: Authors and reviewers remain anonymous.
- Two or more independent experts evaluate the manuscript.
Step 5: Peer Review Process
- Originality and novelty
- Methodological soundness
- Clarity and structure
- Data validation and analysis
- Literature review quality
- Ethical compliance
- Detailed reviewer feedback
Step 6: Editorial Decision
- Accept: Minor or no revisions required.
- Revise & Resubmit: Authors address reviewer comments.
- Reject: Manuscripts not meeting standards.
Step 7: Final Acceptance and Proofreading
- Professional copyediting and formatting.
- Author approval before publication.
Step 8: Publication
- Open-access online publication.
- Online First publication available.
- Available in PDF and digital formats.
Step 9: Post-Publication
- Post-publication engagement and author responses.
- Citation tracking and visibility promotion.
Commitment to Quality and Integrity
IJMLAIDSE maintains rigorous standards to ensure that all published work is high-quality, ethical, and impactful. Our editorial team supports authors throughout submission, review, and publication.
For questions about the editorial workflow, contact: