Big Data Analytics for Cyber Physical Systems

This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems.

Big Data Analytics for Cyber Physical Systems

Big Data Analytics for Cyber Physical Systems

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 "best practices", "winning stories" and "real-world examples" to complement innovation. Includes highlights of mathematical foundations of signal processing and machine learning in CPS and IoT.

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Big Data Analytics for Cyber-Physical Systems
Language: en
Pages: 396
Authors: Guido Dartmann, Houbing Song, Anke Schmeink
Categories: Law
Type: BOOK - Published: 2019-07-15 - Publisher: Elsevier

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
Big Data Analytics for Cyber-Physical Systems
Language: en
Pages: 270
Authors: Shiyan Hu, Bei Yu
Categories: Computers
Type: BOOK - Published: 2020-06-25 - Publisher: Springer Nature

This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components. The book first discusses some fundamental big data problems and solutions in large scale distributed CPSs. The book then addresses
Big Data Analytics for Cyber-Physical System in Smart City
Language: en
Pages:
Authors: Mohammed Atiquzzaman
Categories: Computers
Type: BOOK - Published: - Publisher: Springer Nature

Books about Big Data Analytics for Cyber-Physical System in Smart City
Exam Prep for: Big Data Analytics for Cyber-physical Systems
Language: en
Pages:
Authors: Mohammed Atiquzzaman
Categories: Computers
Type: - Published: - Publisher:

Books about Exam Prep for: Big Data Analytics for Cyber-physical Systems
Big Data Privacy Preservation for Cyber-Physical Systems
Language: en
Pages: 73
Authors: Miao Pan, Jingyi Wang, Sai Mounika Errapotu, Xinyue Zhang, Jiahao Ding, Zhu Han
Categories: Technology & Engineering
Type: BOOK - Published: 2019-03-25 - Publisher: Springer

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief.

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