International Journal of Generative AI (IJGAI)

The aim of the International Journal of Generative AI (IJGAI), published by IAEME Publication, is to serve as a premier platform for the dissemination of cutting-edge research findings, methodologies, and advancements in the field of Generative Artificial Intelligence (AI). The journal strives to foster innovation, collaboration, and knowledge exchange among researchers, scholars, and practitioners worldwide, thereby contributing to the continuous advancement and understanding of generative AI technologies and their applications under the auspices of IAEME Publication. Scope The scope of the International Journal of Generative AI (IJGAI), without delving into specific subject areas, encompasses a broad spectrum of research and developments within the realm of Generative Artificial Intelligence. The journal welcomes original research papers, review articles, and survey papers that contribute novel insights, theoretical frameworks, experimental methodologies, and practical applications related to generative models, algorithms, and techniques. Additionally, the journal invites contributions addressing ethical considerations, societal impacts, and emerging trends in generative AI, fostering interdisciplinary collaboration and promoting excellence in research across various domains.

International Journal of Generative AI (IJGAI) is :-

• International, Peer-Reviewed, Open Access, Refereed, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Deep generative models, Transfer learning for generative tasks, Energy-efficient generative algorithms, Robotics applications of generative AI, Fairness and bias considerations in generative AI, Bayesian generative models, Uncertainty estimation in generative AI , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1596-1958, Established: 2024, Impact Factor: 3.00
• Does Not Provide Crossref DOI

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