About the Journal
Journal of Artificial Neural Networks (JANN) is a peer-reviewed, half-yearly academic journal published by Adeon Global, dedicated to advancing research, innovation, and practical applications in the rapidly evolving field of artificial neural networks and intelligent computational systems. The journal provides an international platform for researchers, academicians, scientists, engineers, industry professionals, and research scholars to publish high-quality theoretical, methodological, and application-oriented research.
The journal welcomes original research articles, review papers, technical papers, case studies, short communications, and significant advances related to neural network architectures, deep learning, machine intelligence, computational modelling, and neural-inspired systems. JANN promotes interdisciplinary research that connects artificial intelligence with computer science, engineering, data science, healthcare, robotics, finance, cybersecurity, natural language processing, and other emerging domains.
With the increasing importance of data-driven technologies, artificial neural networks have become fundamental to modern intelligent systems. Journal of Artificial Neural Networks aims to disseminate innovative knowledge, encourage collaboration between academia and industry, and provide a credible forum for discussing emerging developments, challenges, methodologies, and future directions in neural computation and artificial intelligence. The journal is committed to maintaining academic quality, originality, research integrity, and ethical publishing standards.