Artificial Intelligence and Industry 4.0

1st Edition - August 14, 2022
Editors: Aboul Ella Hassanien, Jyotir Moy Chatterjee, Vishal Jain
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 8 4 6 8 - 6
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 0 6 3 9 - 5

Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing… Read more

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Institutional subscription on ScienceDirect

Request a sales quote

Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT.

Cover image
Title page
Table of Contents
Copyright
Contributors
Part 1: Artificial intelligence and Industry 4.0 with healthcare
Chapter 1: Influence and implementation of Industry 4.0 in health care
Abstract
1.1: Introduction
1.2: Industry 1.0 to 4.0
1.3: Healthcare 1.0 to 4.0
1.4: Literature review
1.5: Big data in health care
1.6: Internet of Things in the healthcare sector
1.7: Blockchain technology in the healthcare sector
1.8: Applications in healthcare 4.0
1.9: Case studies
1.10: Conclusion
1.11: The recent innovations and research solutions of Industry 4.0 in healthcare sector
References
Chapter 2: Impact of artificial intelligence in the healthcare sector
Abstract
2.1: Introduction
2.2: Literature review
2.3: Research framework and development of hypotheses
2.4: Research methodology
2.5: Data analysis
2.6: Discussion
2.7: Conclusion
2.8: Limitations and future scope of the study
Appendix A. Measurement items
Appendix B. Questionnaire
References
Part 2: Role of artificial intelligence in industry 4.0
Chapter 3: Embedded system for model characterization developing intelligent controllers in industry 4.0
Abstract
3.1: Introduction
3.2: Theoretical framework
3.3: Methods
3.4: Results and discussion
3.5: Conclusions
References
Chapter 4: Industry 4.0 multiagent system-based knowledge representation through blockchain
Abstract
4.1: Introduction
4.2: Literature survey
4.3: What is industry 4.0
4.4: What is blockchain
4.5: Blockchain as the industry engine 4.0
4.6: Blockchain-based conventional networks
4.7: Decision making concept
4.8: What is ambient intelligence
4.9: Multiagent systems
4.10: Blockchain for the representation of knowledge from multiagent systems
4.11: Comparison between the existing model and our proposed model
4.12: Country-wise comparison of multiagent-based industry 4.0
4.13: Conclusion and future work
References
Chapter 5: Artificial Intelligence: A tool to resolve thermal behavior issues in disc braking systems
Abstract
5.1: Introduction
5.2: Artificial Intelligence in the automobile sector
5.3: AI in automobile disc braking systems
5.4: Notable brake complaints observed at servicing centers
5.5: Literature survey
5.6: Application of AI to resolve thermal problems during long braking
5.7: Results and conclusion
5.8: Future scope
References
Chapter 6: Proposal of a smart framework for a transportation system in a smart city
Abstract
6.1: Introduction
6.2: Literary review
6.3: Spider monkey optimization
6.4: Practical application
6.5: Discussion of results
6.6: Conclusions
References
Chapter 7: Society 5.0: Effective technology for a smart society
Abstract
7.1: Introduction
7.2: Literature review
7.3: Industrial revolutions
7.4: The concept of Society 5.0 and artificial intelligence
7.5: Conclusions
7.6: Recommendations and future scope
References
Chapter 8: Big data analytics for strategic and operational decisions
Abstract
8.1: Introduction
8.2: Overview
8.3: Opportunities
8.4: Challenges
8.5: Proposed solution
8.6: Case study
8.7: Results and discussion
8.8: Conclusion
References
Chapter 9: Person-based automation with artificial intelligence Chatbots: A driving force of Industry 4.0
Abstract
9.1: Introduction
9.2: NBC Chatbot
9.3: A.L.I.C.E
9.4: Related work
9.5: Proposed work
9.6: Applications of Chatbots
9.7: Weaknesses of Chatbots and scope for improvement
9.8: Results and discussion
9.9: Conclusion and future work
References
Index

Aboul Ella Hassanien

Dr Aboul Ella Hassanein is the Founder and Head of the Egyptian Scientific Research Group (SRGE), Cairo Univesrity, and a Professor of Information Technology at the Faculty of Computer and Information, Cairo University. Professor Hassanien is ex-dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment.

Affiliations and expertise

Professor of Information Technology, Faculty of Computer and Information, Cairo University, Cairo, Egypt

Jyotir Moy Chatterjee

Jyotir Moy Chatterjee received M. Tech in Computer Science & Engineering from Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha in 2016, and a B. Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute, Maduravoyal, Chennai in 2013. His research interests include Machine Learning, Deep Learning, and the Internet of Things. He is credited with 26 SCIE journal papers, 9 Scopus journal papers, 43 Google Scholar journal papers, 5 international conference papers, 3 authored books, 21 edited books, 26 book chapters, and 1 Indian patent (published). He is currently serving as a Commissioning Editor of the Journal of Information Technology Research (JITR- IGI Global) and Academic Editor of the Computational Intelligence and Neuroscience (Hindawi). He is also serving as a reviewer for various prestigious Elsevier, Springer, IEEE, and Techpress journals and is also associated with various international conferences as a reviewer, TPC, Advisory board, etc. He is also the book series editor of the Scrivener Publishing- MACHINE LEARNING IN BIOMEDICAL SCIENCE AND HEALTHCARE INFORMATICS (https://www.scrivenerpublishing.com/series.php?id=Machine%20Learning%20in%20Biomedical%20Science%20and%20Healthcare%20Informatics), CRC Press- Chapman & Hall/CRC Cyber-Physical Systems (https://www.routledge.com/Chapman--HallCRC-Cyber-Physical-Systems/book-series/CHCPS), CRC Press- Artificial Intelligence in Smart Healthcare Systems(https://www.routledge.com/Artificial-Intelligence-in-Smart-Healthcare-Systems/book-series/CRCAISHS?publishedFilter=alltitles&pd=published,forthcoming&pg=1&pp=48&so=pub&view=list). For more details about him, kindly follow his webpage https://sites.google.com/view/jyotirmoychatterjee

Affiliations and expertise

Assistant Professor, Department of Information Technology, Lord Buddha Education Foundation, Kathmandu, Nepal

Vishal Jain

Dr. Vishal Jain is presently working as an Associate Professor at Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P. India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has more than 370 research citation indices with Google Scholar (h-index score 9 and i-10 index 9). He has authored more than 70 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 10 books with various reputed publishers, including Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Affiliations and expertise

Associate Professor, Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P. India