Fr. 352.80

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

English · Hardback

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Description

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Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems.

Summary

Focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. The book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS.

Product details

Assisted by Atilla Elci (Editor), Atilla Elçi (Editor), Ashish Kumar Luhach (Editor)
Publisher Engineering Science Reference
 
Languages English
Product format Hardback
Released 31.12.2020
 
EAN 9781799851011
ISBN 978-1-79985-101-1
No. of pages 420
Dimensions 221 mm x 286 mm x 27 mm
Weight 1311 g
Subjects Guides
Natural sciences, medicine, IT, technology > IT, data processing > IT

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