Artificial Intelligence and Industry 4.0

Artificial Intelligence and Industry 4.0

1st Edition - August 14, 2022

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  • Editors: Aboul Hassanien, Jyotir Chatterjee, Vishal Jain
  • Paperback ISBN: 9780323884686
  • eBook ISBN: 9780323906395

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Description

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.

Key Features

  • 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

Readership

Graduate students, researchers, and professionals in the fields of computer science and engineering, electronic engineering, and mechatronics engineering

Table of Contents

  • 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

Product details

  • No. of pages: 262
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: August 14, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780323884686
  • eBook ISBN: 9780323906395

About the Editors

Aboul 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 Chatterjee

Jyotir Moy Chatterjee has received M. Tech in Computer Science & Engineering from Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha in 2016, and B. Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute, Maduravoyal, Chennai in 2013. His research interest includes Machine Learning, Deep Learning and Internet of Things. He is also the Young Ambassador of the Scientific Research Group of Egypt (SRGE) for 2020–2021. He got included in the AD Scientific Index World Scientist and University Rankings 2021 and holds 3rd Rank in HCERES Ranking & Scimago Journal Ranks Ranking, 4th rank from Nepal in ABDC Journal Quality List Ranking and 6th Rank from Nepal in CABS Academic Journal Guide Ranking.

Affiliations and Expertise

Assistant Professor, Information Technology department, Lord Buddha Education Foundation (Asia Pacific University), 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

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