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Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things by Guido Dartmann 9780128166376

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Description

Approx.374 pages

About the Author
Prof. Dr.-Ing. Guido Dartmann is a professor and research group leader at Trier University of Applied Sciences, Germany. Dr. Dartmann also serves as a co-lead of the German IoT expert group of national Digital Summit. His research interests include distributed systems, data analytics, signal processing, optimization of technical systems, cyber-physical systems, wireless communication, cyber-security, internet of things, and traffic and mobility. Houbing Song, Security and Optimization for Networked Globe Laboratory, University of Maryland, Baltimore County (UMBC), Baltimore, USA. His research interests include cyber-physical systems, cybersecurity and privacy, IoT, big data analytics, connected vehicles, smart health, wireless communications, and networking. Dr. Song has edited and authored several books in the field, including Cyber-Physical Systems: Foundations, Principles and Applications. Prof. Dr.-Ing. Anke Schmeink, is a professor leading the ISEK research and teaching area at RWTH Aachen University, Germany. Her research interests include information theory and network optimization.


Book Information
ISBN 9780128166376
Author Guido Dartmann
Format Paperback
Page Count 396
Imprint Elsevier Science Publishing Co Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 660g

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