Artificial Intelligence and Communication Techniques in Industry 5.0 (Advances in Manufacturing, Design and Computational Intelligence Techniques)
by: Payal Bansal (Editor),Rajeev Kumar (Editor),Ashwani Kumar (Editor),Daniel D. Dasig Jr. (Editor)&1more
Publisher: CRC Press
Edition: 1st
Publication Date: 2024/11/13
Language: English
Print Length: 394 pages
ISBN-10: 1032798203
ISBN-13: 9781032798202
Book Description
The book highlights the role of artificial intelligence in driving innovation, productivity, and efficiency. It further covers applications of artificial intelligence for digital marketing in Industry 5.0 and discusses data security and privacy issues in artificial intelligence, risk assessments, and identification strategies.This book:Discusses the role of artificial intelligence applications for digital manufacturing in Industry 5.0Presents blockchain methods and data-driven decision-making with autonomous transportationCovers reinforcement learning algorithm and highly predicted models for accurate data analysis in industry automationHighlights the importance of robust authentication mechanisms and access control policies to protect sensitive information, prevent unauthorized access, and enable secure interactions between humans and machinesExplains attack pattern detection and prediction which play a crucial role in ensuring the security of business systems and networksIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, industrial engineering, manufacturing engineering, and production engineering.
About the Author
The book highlights the role of artificial intelligence in driving innovation, productivity, and efficiency. It further covers applications of artificial intelligence for digital marketing in Industry 5.0 and discusses data security and privacy issues in artificial intelligence, risk assessments, and identification strategies.This book:Discusses the role of artificial intelligence applications for digital manufacturing in Industry 5.0Presents blockchain methods and data-driven decision-making with autonomous transportationCovers reinforcement learning algorithm and highly predicted models for accurate data analysis in industry automationHighlights the importance of robust authentication mechanisms and access control policies to protect sensitive information, prevent unauthorized access, and enable secure interactions between humans and machinesExplains attack pattern detection and prediction which play a crucial role in ensuring the security of business systems and networksIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, industrial engineering, manufacturing engineering, and production engineering.
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