Optimization of Spiking Neural Networks for Radar Applications

Discover the groundbreaking insights in Optimization of Spiking Neural Networks for Radar Applications by Muhammad Arsalan. Published by Springer Fachmedien Wiesbaden in 2024, this 209-page paperback delves into the pivotal role of edge devices in enhancing Internet of Things (IoT) applications. The author expertly examines the complexities of traditional deep neural network (deepNet) methodologies, highlighting critical issues regarding energy efficiency during inference, especially pertinent for edge devices. This book is an essential resource for researchers and practitioners looking to optimize neural networks for radar applications and improve the performance of IoT systems. Whether you are a seasoned professional or a newcomer to the field, this comprehensive exploration will equip you with the knowledge to navigate the evolving landscape of machine learning and IoT technology.