
Artificial Intelligence and Industry 4.0
- 1st Edition - August 14, 2022
- Imprint: Academic Press
- 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

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Request a sales quoteArtificial 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.
- Explores artificial intelligence applications within the industrial manufacturing and communications sectors
- Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector
- Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions
- 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
- Edition: 1
- Published: August 14, 2022
- Imprint: Academic Press
- No. of pages: 262
- Language: English
- Paperback ISBN: 9780323884686
- eBook ISBN: 9780323906395
AH
Aboul Ella Hassanien
JM
Jyotir Moy Chatterjee
Jyotir Moy Chatterjee is currently an Assistant Professor in Department of Computer Science and Engineering at Graphic Era (Deemed to be University), in Dehradun, India. He also serves as a Visiting Faculty member in Information Technology at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation in Kathmandu, Nepal. His research interests focus on advancements in Machine Learning and Deep Learning.
VJ