Journal of Artificial Intelligence and Imaging (JoAII)

Journal of Artificial Intelligence and Imaging (JoAII) is a double blind peer-reviewed, bi-annual journal, which aims to provide readers with the most recent findings in the field of artificial intelligence and imaging. Each paper accepted for publication in the journal have a significant empirical or theoretical contribution. The journal welcomes research articles in all areas of computer science-related submissions. JoAII aims to provide a prominent platform for researchers, professionals, and practitioners to disseminate cutting-edge advancements in the intersection of artificial intelligence (AI) and imaging technologies. The journal's scope encompasses a wide range of topics including machine learning, computer vision, pattern recognition, deep learning, and image analysis, with a particular emphasis on their applications in various imaging domains. It welcomes original research articles, reviews, and case studies that explore novel AI techniques, algorithms, and methodologies for image processing, image understanding, object recognition, image generation, and other related areas. The journal strives to foster interdisciplinary collaborations and drive innovation at the crossroads of AI and imaging, ultimately contributing to the development of intelligent imaging systems, automation, and decision-making processes in domains such as medical imaging, surveillance, autonomous vehicles, robotics, and more.

Journal of Artificial Intelligence and Imaging (JoAII) is :-

• International, Peer-Reviewed, Open Access, Refereed, Computer Science, Artificial Intelligence , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3048-5525, Established: 2024,
• Provides Crossref DOI

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