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Artificial intelligence paradigms fo...
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Elçi, Atilla,
Artificial intelligence paradigms for smart cyber-physical systems
Record Type:
Electronic resources : Monograph/item
Title/Author:
Artificial intelligence paradigms for smart cyber-physical systemsAshish Kumar Luhach and Atilla Elçi, editors.
other author:
Luhach, Ashish Kumar,
Published:
Hershey, Pennsylvania :IGI Global,2021
Description:
1 online resource (xix, 392 p.)
Subject:
Computer networksSecurity measures
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5101-1
ISBN:
9781799851028 (ebk.)
Artificial intelligence paradigms for smart cyber-physical systems
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:
875102
Computer networks
--Security measures
LC Class. No.: TK5105.59 / .A78 2021e
Dewey Class. No.: 005.8
Artificial intelligence paradigms for smart cyber-physical systems
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Ashish Kumar Luhach and Atilla Elçi, editors.
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Includes bibliographical references and index.
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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.
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"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"--
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Security measures
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5101-1
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電子館藏
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EB TK5105.59 .A78 2021e 2021
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5101-1
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