International Journal of Neural Systems and Applications

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About Us

It is a peer-reviewed, bi-annual journal committed to the rapid publication of high-quality research in the domain of neural networks, intelligent systems, and computational neuroscience. Published by MAT Journals Pvt. Ltd., the journal provides a platform for scholars, researchers, and industry practitioners to exchange advancements and practical insights across diverse areas of artificial neural systems and their applications. IJNSA welcomes original research articles, comprehensive review papers, and detailed case studies that explore both theoretical models and realworld implementations. With a strong emphasis on academic excellence and innovation, the journal aims to bridge the gap between foundational research and applied intelligent technologies by highlighting emerging methods, frameworks, and applications in neural system engineering.

Aim

The International Journal of Neural Systems and Applications aims to publish high-quality research articles, review papers, and case studies that advance the understanding and application of neural systems within modern electronics and communication engineering. The journal promotes interdisciplinary research and encourages contributions that explore neural network models, intelligent signal processing, adaptive system design, neuromorphic electronics, and neural-assisted communication technologies. By integrating theoretical developments with practical engineering solutions, IJNSA seeks to highlight emerging methodologies, innovative architectures, and real-world applications that strengthen the linkage between neural computation and intelligent electronic communication systems. The journal serves as a valuable platform for researchers, academicians, and industry professionals engaged in shaping next-generation neural-driven technologies.

Focus and Scope

Neural Network Architectures Neural Network Designs Neural Network Optimization Techniques Cognitive Radio Neural Networks for Sensor Networks