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Guido Dartmann, Houbing Herbert Song, Anke Schmeink - Big Data Analytics for Cyber-Physical Systems, Häftad

Häftad, Engelska, 2019

Big Data Analytics for Cyber-Physical Systems

Machine Learning for the Internet of Things

Av Guido Dartmann, Houbing Herbert Song, Anke Schmeink

1499 kr

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Beskrivning
Approx.374 pages

Approx.374 pages
Produktinformation
  • Utgivningsdatum: 2019-07-16
  • Mått: 152 x 229 x 19 mm
  • Vikt: 660 g
  • Format: Häftad
  • Språk: Engelska
  • Antal sidor: 396
  • Förlag: Elsevier Science
  • ISBN: 9780128166376
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Mer information

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.

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