Big Data Analytics for Cyber-Physical Systems - Machine Learning for the Internet of Things (Paperback)

Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science.

General

Imprint:	Elsevier Science Publishing Co Inc
Country of origin:	United States
Release date:	July 2019
First published:	2019
Editors:	Guido Dartmann • Houbing Song • Anke Schmeink
Dimensions:	229 x 152 x 19mm (L x W x T)
Format:	Paperback
Pages:	396
ISBN-13:	978-0-12-816637-6
Categories:	Books > Law > Laws of other jurisdictions & general law > Financial, taxation, commercial, industrial law > Transport law Promotions
LSN:	0-12-816637-1
Barcode:	9780128166376

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