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Journal Photo for Journal of Artificial Intelligence, Machine Learning, and Bioinformatics
Peer reviewed only Open Access

Journal of Artificial Intelligence, Machine Learning, and Bioinformatics (JAIMLB)

Publisher : Atlas Publishing, LLC
case studies and applications that advance the fields of Artificial Intelligence (AI) Machine Learning (ML)
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e-ISSN 3068-5036
Issue Frequency Quarterly
Est. Year 2024
Mobile 9107452047
Language English
APC YES
Email editor@atlas-publishing.org

Journal Descriptions

The Journal of Artificial Intelligence, Machine Learning, and Bioinformatics (JAIMLB) [ISSN 3068-5036] is an international, peer-reviewed, open-access journal dedicated to the dissemination of high-quality research and innovation at the intersection of computational sciences and life sciences. The journal provides a platform for researchers, scientists, engineers, and practitioners to present original research, reviews, case studies, and applications that advance the fields of Artificial Intelligence (AI), Machine Learning (ML), and Bioinformatics. JAIMLB aims to foster interdisciplinary collaboration and serve as a bridge between the development of intelligent computational algorithms and their applications in biology, medicine, agriculture, environmental sciences, and related disciplines. Atlas Publishing journals follow an Open Peer-Review process where reviewers are aware of authors identities and affiliations. This is a standard practice by most well know journals and publishers. Each manuscript is uploaded to the Open Journal System (OJS) where the Open Review Process takes place. Briefly, the Editor-In-Chief (EIC) sends the manuscript to at least 2 reviewers, receives comments from reviewers, and takes a decision based on these comments and his own judgement of the overall quality of the manuscript. In OJS, one of the following decisions can be made:

Journal of Artificial Intelligence, Machine Learning, and Bioinformatics (JAIMLB) is :-

  • International, Peer-Reviewed, Open Access, Refereed, case studies, and applications that advance the fields of Artificial Intelligence (AI), Machine Learning (ML), Bioinformatics, medicine, agriculture, environmental sciences, data analysis, systems biology, precision medicine, ecological models, ethical AI approaches in biological contexts , Online , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3068-5036, Established: 2024,
  • Does Not Provide Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing