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.
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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.
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Produktdetaljer

ISBN
9781799851011
Publisert
2020-11-30
Utgiver
Vendor
Business Science Reference
Vekt
633 gr
Høyde
279 mm
Bredde
216 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
315

Om bidragsyterne

Atilla Elçi is full professor and chairman of the Department of Electrical and Electronics Engineering at Aksaray University, Aksaray, Turkey, since August 2012. He was full professor and chairman of computer and educational technology at S??leyman Demirel University, Isparta, Turkey (May 2010 - June 2012). He served as full professor of computer engineering, the founding director of the Graduate School of Science and Technology, and the dean of Engineering Faculty at Toros University, Mersin, Turkey (July 2010 - June 2011); with the Computer Engineering Program, Middle East Technical University (METU NCC, Spring 2010); Eastern Mediterranean University (2003-2009) where he established the Internet Technologies Research Center and semantic robotics lab; Hali?º University, Istanbul, Turkey, founder and chair of the Computer Engineering Department (2000-2003); the International Telecommunication Union, Geneva, Switzerland, as chief technical advisor (1985-1997); METU Ankara, Turkey, where he was chair and assistant chair of Computer Engineering Department(1976-1985); Purdue University, W. Lafayette, Indiana, USA, as research assistant (1974-5). He has organized or served in the committees of numerous international conferences. He has been organizing IEEE Engineering Semantic Agent Systems Workshops since 2006, Security of Information and Networks Conferences since 2007; and, IJRCS Symposiums 2007-9. He has published over a hundred journal and conference papers; edited the book titled Semantic Agent Systems (Springer 2011), Theory and Practice of Cryptography Solutions for Secure Information Systems (IGI 2013); proceedings of SIN 2007, 9 - 12 by ACM, ESAS 2006-12 by IEEE CS, and IJRCS 2009; special issues. He was the program chair for the 36th COMPSAC (2012). He obtained B.Sc. in Computer/Control Engineering at METU, Ankara, Turkey (1970), M.Sc. & Ph.D. in Computer Sciences at Purdue University, USA (1973, 1975). Website: Atilla Elci His research and experience encompass web semantics, agent-based systems, robotics, machine learning, knowledge representation and ontology, information security, software engineering, and natural language translation.