Join our mailing list
Get exclusive deals and learn about new products!
Reliable shipping
Flexible returns
This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.
Published by: Springer
Publication Date: 2018-12-18
Format: Hardcover
ISBN-13: 9789811333224
DOI: 10.1007/978-981-13-3323-1
Dimensions: 235cm x155cm
Pages: 149