About the Journal

The International Journal of Modern Machine Learning (IJMML) is an international, peer-reviewed scholarly journal dedicated to the dissemination of high-quality research in modern machine learning and artificial intelligence. The journal provides an academic platform for researchers, practitioners, and policymakers to publish original contributions that advance theoretical understanding, methodological development, and practical applications of machine learning.

Focus and Scope

IJMML publishes original research articles, review papers, and applied studies in areas including, but not limited to:

  • Machine Learning and Artificial Intelligence

  • Deep Learning and Neural Networks

  • Data Science and Advanced Analytics

  • Computer Vision and Multimedia Intelligence

  • Natural Language Processing and Speech Technologies

  • Intelligent Systems and Decision Support

  • Interdisciplinary and domain-specific machine learning applications (e.g., healthcare, engineering, finance, smart systems)

The journal emphasizes methodological rigor, reproducibility, measurable outcomes, and ethical research practices.

Peer Review Process

All submissions to IJMML undergo a double-blind peer-review process. Manuscripts are first screened by the editorial team for scope, originality, and compliance with ethical standards, followed by independent review by subject-matter experts. Editorial decisions are based solely on academic merit, relevance, and quality.

Open Access Policy

IJMML is an open access journal, providing immediate and free access to all published articles. Readers may read, download, copy, distribute, and use published content without financial or legal barriers, in accordance with the journal’s copyright and licensing terms.

Copyright and Licensing

Authors publishing in IJMML retain the copyright to their work and grant the journal the right of first publication. Published articles are made available under a suitable open access license, allowing non-commercial use with proper attribution to the original authors and the journal.

Sponsorship and Funding Disclosure

IJMML operates as an independent academic journal. Any sponsorships, institutional support, or funding arrangements related to journal operations or special issues will be transparently disclosed on the journal website. Editorial decisions are not influenced by sponsors or funding bodies.

History of the Journal

The International Journal of Modern Machine Learning (IJMML) was established in 2026 to address the growing need for a focused, high-quality publication venue dedicated to contemporary machine learning research. Since its inception, the journal has aimed to uphold international publishing standards and support the global research community.

Archiving and Preservation

IJMML is committed to the long-term preservation of its published content. The journal supports digital archiving through recognized preservation systems, ensuring permanent access to published articles even in the event of journal discontinuation.

Privacy Statement

IJMML respects the privacy of authors, reviewers, and readers. Personal information collected during the submission, review, and publication process is used solely for editorial and publishing purposes and will not be shared with third parties without consent, except as required by law.