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Artificial intelligence paradigms for smart cyber-physical systems[electronic resource] /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	005.8
[NT 47271] Title/Author:	Artificial intelligence paradigms for smart cyber-physical systems/ Ashish Kumar Luhach and Atilla Elçi, editors.
[NT 51406] other author:	Luhach, Ashish Kumar,
出版者:	Hershey, Pennsylvania : : IGI Global,, 2021
面页册数:	1 online resource (xix, 392 p.)
标题:	Computer networks - Security measures
标题:	Internet of things - Security measures
标题:	Cooperating objects (Computer systems)
标题:	Artificial intelligence - Industrial applications.
ISBN:	9781799851028 (ebk.)
ISBN:	9781799851011 (hbk.)
ISBN:	9781799858461 (pbk.)
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000228] null:	Section 1. Artificial intelligence and cyber-physical systems. Chapter 1. Engineering AI systems: a research agenda ; Chapter 2. Machine learning in cyber-physical systems in industry 4.0 ; Chapter 3. Explainable artificial intelligence (xai) approaches and deep meta-learning models for cyber-physical systems ; Chapter 4. Artificial intelligence-based solutions for cyber security problems ; Chapter 5. Social perspective of suspicious activity detection in facial analysis: an ML-based approach for the Indian perspective -- Section 2. IDS/IPS for smart cyber-physical systems. Chapter 6. Smart IDS and IPS for cyber-physical systems ; Chapter 7. A survey on network intrusion detection using deep generative networks for cyber-physical systems ; Chapter 8. Malicious URL detection using machine learning ; Chapter 9. Video-based human authentication system for access control -- Section 3. Engineering applications in CPS. Chapter 10. Optimizing wsns for CPS using machine learning techniques ; Chapter 11. Multiplier for DSP application in CPS system ; Chapter 12. IoT applications in smart home security: addressing safety and security threats ; Chapter 13. Applying a methodology in data transmission of discrete events from the perspective of cyber-physical systems environments ; Chapter 14. Cyber-physical system for smart grid ; Chapter 15. Bayesian model for evaluating real-world adaptation progress of a cyber-physical system.
[NT 15000229] null:	"This book focuses upon the recent advances in the realization of Artificial Intelligence-based approaches towards affecting secure Cyber-Physical Systems. It features contributions pertaining to this multidisciplinary paradigm, in particular, in its application to building sustainable space by investigating state-of-art research issues, applications and achievements in the field of Computational Intelligence Paradigms for Cyber-Physical Systems"--
电子资源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5101-1

Artificial intelligence paradigms for smart cyber-physical systems[electronic resource] /
Artificial intelligence paradigms for smart cyber-physical systems[electronic resource] /Ashish Kumar Luhach and Atilla Elçi, editors. - Hershey, Pennsylvania :IGI Global,2021 - 1 online resource (xix, 392 p.)

Includes bibliographical references and index.

Section 1. Artificial intelligence and cyber-physical systems. Chapter 1. Engineering AI systems: a research agenda ; Chapter 2. Machine learning in cyber-physical systems in industry 4.0 ; Chapter 3. Explainable artificial intelligence (xai) approaches and deep meta-learning models for cyber-physical systems ; Chapter 4. Artificial intelligence-based solutions for cyber security problems ; Chapter 5. Social perspective of suspicious activity detection in facial analysis: an ML-based approach for the Indian perspective -- Section 2. IDS/IPS for smart cyber-physical systems. Chapter 6. Smart IDS and IPS for cyber-physical systems ; Chapter 7. A survey on network intrusion detection using deep generative networks for cyber-physical systems ; Chapter 8. Malicious URL detection using machine learning ; Chapter 9. Video-based human authentication system for access control -- Section 3. Engineering applications in CPS. Chapter 10. Optimizing wsns for CPS using machine learning techniques ; Chapter 11. Multiplier for DSP application in CPS system ; Chapter 12. IoT applications in smart home security: addressing safety and security threats ; Chapter 13. Applying a methodology in data transmission of discrete events from the perspective of cyber-physical systems environments ; Chapter 14. Cyber-physical system for smart grid ; Chapter 15. Bayesian model for evaluating real-world adaptation progress of a cyber-physical system.

Restricted to subscribers or individual electronic text purchasers.

"This book focuses upon the recent advances in the realization of Artificial Intelligence-based approaches towards affecting secure Cyber-Physical Systems. It features contributions pertaining to this multidisciplinary paradigm, in particular, in its application to building sustainable space by investigating state-of-art research issues, applications and achievements in the field of Computational Intelligence Paradigms for Cyber-Physical Systems"--

ISBN: 9781799851028 (ebk.)Subjects--Topical Terms:

739403
Computer networks
--Security measures

LC Class. No.: TK5105.59 / .A78 2021e

Dewey Class. No.: 005.8

Artificial intelligence paradigms for smart cyber-physical systems[electronic resource] /
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020 $a 9781799851028 (ebk.)
020 $a 9781799851011 (hbk.)
020 $a 9781799858461 (pbk.)
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245 0 0 $a Artificial intelligence paradigms for smart cyber-physical systems $h [electronic resource] / $c Ashish Kumar Luhach and Atilla Elçi, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2021
300 $a 1 online resource (xix, 392 p.)
504 $a Includes bibliographical references and index.
505 0 $a Section 1. Artificial intelligence and cyber-physical systems. Chapter 1. Engineering AI systems: a research agenda ; Chapter 2. Machine learning in cyber-physical systems in industry 4.0 ; Chapter 3. Explainable artificial intelligence (xai) approaches and deep meta-learning models for cyber-physical systems ; Chapter 4. Artificial intelligence-based solutions for cyber security problems ; Chapter 5. Social perspective of suspicious activity detection in facial analysis: an ML-based approach for the Indian perspective -- Section 2. IDS/IPS for smart cyber-physical systems. Chapter 6. Smart IDS and IPS for cyber-physical systems ; Chapter 7. A survey on network intrusion detection using deep generative networks for cyber-physical systems ; Chapter 8. Malicious URL detection using machine learning ; Chapter 9. Video-based human authentication system for access control -- Section 3. Engineering applications in CPS. Chapter 10. Optimizing wsns for CPS using machine learning techniques ; Chapter 11. Multiplier for DSP application in CPS system ; Chapter 12. IoT applications in smart home security: addressing safety and security threats ; Chapter 13. Applying a methodology in data transmission of discrete events from the perspective of cyber-physical systems environments ; Chapter 14. Cyber-physical system for smart grid ; Chapter 15. Bayesian model for evaluating real-world adaptation progress of a cyber-physical system.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book focuses upon the recent advances in the realization of Artificial Intelligence-based approaches towards affecting secure Cyber-Physical Systems. It features contributions pertaining to this multidisciplinary paradigm, in particular, in its application to building sustainable space by investigating state-of-art research issues, applications and achievements in the field of Computational Intelligence Paradigms for Cyber-Physical Systems"-- $c Provided by publisher.
650 0 $a Computer networks $x Security measures $x Data processing. $3 739403
650 0 $a Internet of things $x Security measures $x Data processing. $3 739404
650 0 $a Cooperating objects (Computer systems) $3 611532
650 0 $a Artificial intelligence $x Industrial applications. $3 467340
700 1 $a Luhach, Ashish Kumar, $d 1985- $e editor. $3 739401
700 1 $a Elçi, Atilla, $e editor. $3 739402
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5101-1