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Big Data Analytics for Cyber-Physical Systems

Machine Learning for the Internet of Things

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Big Data Analytics for Cyber-Physical Systems Guido Dartmann
Libristo code: 39580504
Publishers Elsevier, July 2019
Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines s... Full description
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51 965 Ft
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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. Bridges the gap between IoT, CPS, and mathematical modelling Features numerous use cases that discuss how concepts are applied in different domains and applications Provides "e;best practices"e;, "e;winning stories"e; and "e;real-world examples"e; to complement innovation Includes highlights of mathematical foundations of signal processing and machine learning in CPS and IoT

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About the book

Full name Big Data Analytics for Cyber-Physical Systems
Author Guido Dartmann, Houbing Song, Anke Schmeink
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2019
Number of pages 396
EAN 9780128166468
Libristo code 39580504
Publishers Elsevier

Categories

Law > Laws of specific jurisdictions & specific areas of law > Environment, transport & planning law: general > Transport law
Law > Jurisprudence & general issues
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