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

ISBN 10: 0128166371 / ISBN 13: 9780128166376

Editore: Elsevier, 2019

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pp. 396.

Codice articolo 18376457061

Dati bibliografici

• Titolo: Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things
• Editore: Elsevier
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 0128166371
• ISBN 13: 9780128166376
• Rilegatura: Brossura
• Condizione: New

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Riassunto

Approx.374 pages

Informazioni sugli autori

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.