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International Journal of Artificial Intelligence and Machine Learning (IJAIML)

Publisher :

SvedbergOpen

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Peer reviewed only
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Open Access
  • Artificial Intelligence
  • Machine Learning
e-ISSN :

2789-2557

Issue Frequency :

Bi-Annual

Est. Year :

2021

Mobile :

1234567890

Country :

South Africa

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

editorialoffice@svedbergopen.com

Journal Descriptions

International Journal of Artificial Intelligence and Machine Learning (IJAIML) is an international peer-reviewed open access journal published biannually by SvedbergOpen. IJAIML provides a unique forum for researchers, academicians and engineers in artificial intelligence and machine learning for disseminating new ideas and techniques with significant potential impact. IJAIML is dedicated to publish high quality research on all aspects of artificial intelligence and machine learning. IJAIML operates a double-blind reviewing policy in which the anonymity of authors to reviewers and reviewers to authors will be ensured so as to make the review process unbiased. International Journal of Artificial Intelligence and Machine Learning publishes broad spectrum of scientific and technical papers to reflect the evolving needs of the artificial intelligence, machine learning and neural networks engineers. The journal aims to provide a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, and policy makers working in the field to contribute and disseminate innovative ideas on all aspects of artificial intelligence, machine learning and neural networks.


International Journal of Artificial Intelligence and Machine Learning (IJAIML) is :

International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Machine Learning , Online Bi-Annual Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2789-2557, Established in - 2021, Impact Factor

Not Provide Crossref DOI

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

Indexing

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ResearchBible
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SherpaRomeo

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