Big Data Analytics for Cyber-Physical Systems : Machine Learning for the Internet of Things

Dartmann, Guido (EDT); Song, Houbing (EDT); Schmeink, Anke (EDT)

ISBN 10: 0128166371 / ISBN 13: 9780128166376

Published by Elsevier, 2019

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Bibliographic Details

• Title: Big Data Analytics for Cyber-Physical Systems : Machine Learning for the Internet of Things
• Publisher: Elsevier
• Publication Date: 2019
• Language: English
• ISBN 10: 0128166371
• ISBN 13: 9780128166376
• Binding: Soft cover
• Condition: As New

About this title

Synopsis

Approx.374 pages

Approx.374 pages

About the Authors

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.