The International Journal of Experimental & Theoretical Artificial Intelligence (IJETAI) is a peer-reviewed international journal dedicated to the publication of original research articles, review articles, and experimental results within the realm of artificial intelligence (AI). IJETAI serves as a vital platform for the dissemination of scientific contributions in the field of AI. It provides a forum for researchers to share their knowledge and insights into AI algorithms, AI tools, and their applications, particularly within the domains of engineering and medical sciences, soft computing, and robotics. Recognizing the growing importance of AI in these fields, IJETAI is committed to offering a platform for interaction among AI scientists, fostering collaboration and knowledge exchange. To address current interests and emerging trends in AI, the journal welcomes special issues dedicated to specific AI topics. Aim The primary aim of the International Journal of Experimental & Theoretical Artificial Intelligence (IJETAI) is to facilitate the sharing of cutting-edge research and innovative ideas in the field of artificial intelligence. IJETAI aspires to serve as a conduit for AI professionals, researchers, and scientists to disseminate their work, thereby contributing to the advancement of AI knowledge and its practical applications. The journal is driven by the mission to promote collaboration, encourage dialogue among AI experts, and support the growth of AI as a transformative force in engineering, medical sciences, soft computing, and robotics.

International Journal of Experimental & Theoretical Artificial Intelligence (IJETAI) is :

International, Peer-Reviewed, Open Access, Refereed, AI Algorithms, AI Tool, AI Applications, AI Applications in Engineering, AI Applications in Medical Science, Soft Computing, Robotics and AI , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1806-246X, E-ISSN - 1806-2466, Established in - 2025, Impact Factor

Not Provide Crossref DOI

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