Back to Top
Go Back
Journal Photo for International Journal of Artificial Intelligence & Applications
Peer reviewed only Open Access

International Journal of Artificial Intelligence & Applications (IJAIA)

Publisher : AIRCC Publishing Corporation
Artificial Intelligence Bioinformatics Information Retrieval
Claim Your Journal Get PRC Visit Website
e-ISSN 0975-900X
p-ISSN 0976-2191
Issue Frequency Monthly
Est. Year 2010
Mobile 04443565025
Language English
APC YES
Impact Factor Assignee Google Scholar
Email ijaiajournal@airccse.org

Journal Descriptions

The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.

International Journal of Artificial Intelligence & Applications (IJAIA) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Bioinformatics, Information Retrieval, Mechatronics, Machine Learning, Web Intelligence Applications, Robotics, Programming Languages , Online or Print , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0976-2191, E-ISSN: 0975-900X, Established: 2010,
  • Does Not Provide Crossref DOI

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

Indexing

Publications of IJAIA

UNLOCKING SCALABLE, SECURE, AND UNIFIED DATA INTELLIGENCE: A STRATEGIC IMPLEMENTATION OF AZURE DATABRICKS WITH DELTA LAKE AND UNITY CATALOG
Venkata Ramana January, 2025
Organizations struggle to attain scalable, secure, and unified data intelligence in the exponential data proliferation age. Conventional data structures are likely to face the problem of dat...
ENHANCING PREDICTIVE MAINTENANCE SYSTEMS THROUGH MACHINE LEARNING DRIVEN IOT ANALYTICS
Research Scholar September, 2021
Predictive maintenance (PdM) represents a transformative shift in industrial operations, aiming to foresee and prevent equipment failures before they occur. Leveraging the convergence of Int...