This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems.
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Language: en
Pages: 396
Pages: 396
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
Language: en
Pages: 270
Pages: 270
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
Language: en
Pages:
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Books about Big Data Analytics for Cyber-Physical System in Smart City
Language: en
Pages:
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Books about Exam Prep for: Big Data Analytics for Cyber-physical Systems
Language: en
Pages: 73
Pages: 73
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.