International Journal of Neural Systems and Applications

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IJNSA is a specialized, peer-reviewed journal that focuses on the intersection of neural networks and electronics and communication engineering published by the MAT Journals Pvt. Ltd. The mission of the journal is to promote the integration of neural systems with cutting-edge technologies in electronics, signal processing, and communication networks, enabling advancements in areas such as intelligent systems, wireless communication, and embedded systems.
The journal aims to publish high-quality research paper, review paper and case studies on topics like neuromorphic computing, machine learning for communication systems, adaptive signal processing, and the design of neural network-based hardware architectures. It seeks to bridge the gap between theoretical research in neural systems and practical applications that improve the performance, efficiency, and capabilities of modern electronic and communication systems. The vision is to become a leading publication in the field, fostering innovation at the convergence of neural systems and electronics.

Focus and Scope

Neural Network Architectures Neural Network Designs Neural Network Optimization Techniques Artificial Intelligence & Machine Learning in Neural Systems Neuroinformatics Applications of Neural Systems in wireless communication Ethical, Legal, and Societal Implications of Neural Systems Deep Learning in Neural Networks Neuro-inspired Computing Neuromorphic Computing Neural Systems

Intelligent Embedded Systems Neural Networks in VLSI Design Hybrid Communication Systems Neural Integration in Communication Systems Neural Systems for IoT Neural Networks for Sensor Networks Cognitive Radio Intelligent Spectrum Management Neural-Inspired Algorithms Real-Time Signal Processing