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Industry 5.0key technologies and drivers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Industry 5.0edited by Indranil Sarkar, Abhishek Hazra, Poonam Maurya.
其他題名:	key technologies and drivers /
其他作者:	Sarkar, Indranil.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	viii, 528 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Internet of Things.
電子資源:	https://doi.org/10.1007/978-3-031-87837-4
ISBN:	9783031878374$q(electronic bk.)

Industry 5.0key technologies and drivers /
Industry 5.0key technologies and drivers /[electronic resource] :edited by Indranil Sarkar, Abhishek Hazra, Poonam Maurya. - Cham :Springer Nature Switzerland :2025. - viii, 528 p. :ill. (chiefly col.), digital ;24 cm.

Chapter 1 Edge, Fog, and Cloud Computing in Industry 5.0 -- Chapter 2 Communication Technologies for Industry 5.0 -- Chapter 3 THE TRANSITION FROM INDUSTRY 4.0 TO INDUSTRY 5.0 -- Chapter 4 A Lossless Healthcare Data Compression approach using Near-edge Computing -- Chapter 5 Data Analytics in Industry 5.0: Transforming Processes with Insights -- Chapter 6 Cloud Computing for Industry 5.0 -- Chapter 7 Quantum Machine Learning for Industry 5.0 -- Chapter 8 Industry 5.0 Revolutionizing Resource Management: Opportunities and Challenges -- Chapter 9 Enhancing Data Management in Industry 5.0: The Role of Digital Twins in Optimizing Industrial Operations -- Chapter 10 Navigating Cybersecurity in Industry 5.0: From Risks to Solutions -- Chapter 11 Industry 5.0 network Management -- Chapter 12 Interwoven Threads: AI's Role in the Fabric of Smart Healthcare -- Chapter 13 Healthcare 5.0: Enabling Technologies and Potential Use Cases -- Chapter 14 Revolutionizing Healthcare Security: Blockchain's Role in Industry 5.0 -- Chapter 15 Predictive Maintenance in Industry 5.0: A Comparative Study of Various Deep Learning Models for Remaining Useful Life Prediction of Turbofan Engines -- Chapter 16 Tubular Channel Triple Material Gate-Wrap-Around MOSFET for Industry 5.0-Low Power and High Performance Applications Incorporating Temperature Variations -- Chapter 17 Optimizing service selection in Internet of Things: Strategies and Approaches -- Chapter 18 Privacy preserving and anti-spoofing based robust remote authentication scheme (PAS) -- Chapter 19 Machine Learning Techniques for Industrial Internet of Things: A Survey -- Chapter 20 An Innovative Botnet Revelation Framework for Competing Concerns in IoT (BRF-CCIoT) -- Chapter 21 Near-Edge computing for industry 5.0.

This edited book aims to comprehensively examine the current research trend, state-of-the-art IoT applications, deployment issues, potential challenges, and future research scopes related to Industry 5.0 and Industry 5.0-enabled technologies such as Blockchain, edge computing, 5G, and cloud computing. The book aims to provide a thorough understanding of the application specifications and related issues of IoT in the fields of healthcare 5.0, predictive maintenance, sustainable cities, and transportation systems. Readers of the book will gain valuable insights into applying the concepts to real-world applications and will be introduced to the latest tools, software, and simulations available for experimenting with Industry 5.0 and ideas about diverse IIoT data analysis. The book will also provide valuable insights into the use of AI tools and algorithms for designing intelligent systems to tackle Industry 5.0 issues. It is of great value to readers interested in understanding the integration of Blockchain, edge computing, 5G, and its sister technologies with IIoT and the research scope to solve Industry 5.0 issues.

ISBN: 9783031878374$q(electronic bk.)

Standard No.: 10.1007/978-3-031-87837-4doiSubjects--Topical Terms:

913131
Internet of Things.

LC Class. No.: T59.6

Dewey Class. No.: 658.4038028563

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505 0 $a Chapter 1 Edge, Fog, and Cloud Computing in Industry 5.0 -- Chapter 2 Communication Technologies for Industry 5.0 -- Chapter 3 THE TRANSITION FROM INDUSTRY 4.0 TO INDUSTRY 5.0 -- Chapter 4 A Lossless Healthcare Data Compression approach using Near-edge Computing -- Chapter 5 Data Analytics in Industry 5.0: Transforming Processes with Insights -- Chapter 6 Cloud Computing for Industry 5.0 -- Chapter 7 Quantum Machine Learning for Industry 5.0 -- Chapter 8 Industry 5.0 Revolutionizing Resource Management: Opportunities and Challenges -- Chapter 9 Enhancing Data Management in Industry 5.0: The Role of Digital Twins in Optimizing Industrial Operations -- Chapter 10 Navigating Cybersecurity in Industry 5.0: From Risks to Solutions -- Chapter 11 Industry 5.0 network Management -- Chapter 12 Interwoven Threads: AI's Role in the Fabric of Smart Healthcare -- Chapter 13 Healthcare 5.0: Enabling Technologies and Potential Use Cases -- Chapter 14 Revolutionizing Healthcare Security: Blockchain's Role in Industry 5.0 -- Chapter 15 Predictive Maintenance in Industry 5.0: A Comparative Study of Various Deep Learning Models for Remaining Useful Life Prediction of Turbofan Engines -- Chapter 16 Tubular Channel Triple Material Gate-Wrap-Around MOSFET for Industry 5.0-Low Power and High Performance Applications Incorporating Temperature Variations -- Chapter 17 Optimizing service selection in Internet of Things: Strategies and Approaches -- Chapter 18 Privacy preserving and anti-spoofing based robust remote authentication scheme (PAS) -- Chapter 19 Machine Learning Techniques for Industrial Internet of Things: A Survey -- Chapter 20 An Innovative Botnet Revelation Framework for Competing Concerns in IoT (BRF-CCIoT) -- Chapter 21 Near-Edge computing for industry 5.0.
520 $a This edited book aims to comprehensively examine the current research trend, state-of-the-art IoT applications, deployment issues, potential challenges, and future research scopes related to Industry 5.0 and Industry 5.0-enabled technologies such as Blockchain, edge computing, 5G, and cloud computing. The book aims to provide a thorough understanding of the application specifications and related issues of IoT in the fields of healthcare 5.0, predictive maintenance, sustainable cities, and transportation systems. Readers of the book will gain valuable insights into applying the concepts to real-world applications and will be introduced to the latest tools, software, and simulations available for experimenting with Industry 5.0 and ideas about diverse IIoT data analysis. The book will also provide valuable insights into the use of AI tools and algorithms for designing intelligent systems to tackle Industry 5.0 issues. It is of great value to readers interested in understanding the integration of Blockchain, edge computing, 5G, and its sister technologies with IIoT and the research scope to solve Industry 5.0 issues.
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