by Hao Yu (Author), Hantao Huang (Author)
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.
Format: Hardcover
Pages: 160
Edition: 1st ed. 2019
Publisher: Springer
Published: 13 May 2019
ISBN 10: 981133322X
ISBN 13: 9789811333224