Journal of Machine Learning and Applications is a biannual, open-access, peer-reviewed journal dedicated to the dissemination of high-quality research that advances both theoretical understanding and practical applications in the fields of machine learning. The Journal operates under a rigorous double-blind peer review process, assigns Digital Object Identifiers (DOIs) to all published manuscripts, and is indexed in Google Scholar, ensuring enhanced academic credibility and global visibility.

The Journal's editorial board comprises eminent scholars, established thought leaders, and seasoned professionals from internationally recognized academic and industry institutions. Each submission is reviewed by domain experts who provide constructive, confidential, and objective evaluations, maintaining the highest standards of scholarly integrity and research quality.

We accept a diverse range of scholarly contributions, including Original Research Articles, Review Articles, Short Communications, Case studies, Mini Reviews, and Perspective/Opinion Papers.

You can submit your manuscript online at: https://www.reseaprojournals.com/submit-manuscript, or send it as an email attachment to editorial.jmla@reseaprojournals.com

Journal Overview	Details
Starting year	2025
Frequency	Biannual
Format	Online
Subject	Computer Science
Language of publication	English

Peer Review Process

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