International Journal of Neurocomputing (IJN)
Journal Descriptions
The International Journal of Neurocomputing (IJN) aims to be a leading platform for the exchange of pioneering research at the convergence of neuroscience, computer science, and artificial intelligence. It endeavors to facilitate collaboration among researchers, academicians, and industry professionals to share advancements in neural computing theory, practical applications, and interdisciplinary studies. Scope Theoretical Advances: IJN welcomes original contributions that push the boundaries of neural computing theory, including novel architectures, learning methodologies, and network dynamics. Practical Applications: The journal encourages submissions showcasing practical implementations of neurocomputing across diverse domains such as robotics, signal processing, computer vision, and beyond. Hardware & Software Developments: IJN embraces discussions on advancements in hardware technologies, software simulations, and tools that propel neurocomputing research and applications. Interdisciplinary Collaboration: The scope extends to interdisciplinary studies bridging neuroscience, computational sciences, and other related fields, fostering a holistic understanding of neurocomputing. Knowledge Dissemination & Evolution: IJN aims to deepen the understanding of neurocomputing principles and expedite the translation of theoretical knowledge into real-world applications. The journal seeks to stimulate growth and evolution within the field of neurocomputing through knowledge dissemination and collaboration.
International Journal of Neurocomputing (IJN) is :-
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International, Peer-Reviewed, Open Access, Refereed, Theoretical Advances, Practical Applications, Hardware & Software Developments, Interdisciplinary Collaboration, Knowledge Dissemination & Evolution , Online , Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1789-1550, Established: 2024, Impact Factor: 2.00
- Does Not Provide Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE