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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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.
- 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
Graduate students, researchers, and professionals in the fields of computer science and engineering, electronic engineering, and mechatronics engineering
1. Influence of Industry 4.0 in Healthcare Sector and its Implementation
2. Impact of Artificial Intelligence in Healthcare sector: A Structural Equation Modeling Approach
3. Embedded Characterization of Systems for Developing Intelligent Controllers in the Industry 4.0
4. Industry 4.0 multi-agent system based knowledge representation through bookchain
5. Artificial Intelligence: A Tool to Resolve Thermal Behaviour Issues in Disc Braking System
6. Proposal of a Smart Framework for the Resolution of a Transportation System in a Smart City
7. Society 5.0: Effective Technology for Smart Society
8. Big data analytics opportunities and challenges to inform strategic and operational decisions for smart enterprise
9. Person-based Automation with Artificial Intelligence Chatbots: A driving force of Industry 4.0
2. Impact of Artificial Intelligence in Healthcare sector: A Structural Equation Modeling Approach
3. Embedded Characterization of Systems for Developing Intelligent Controllers in the Industry 4.0
4. Industry 4.0 multi-agent system based knowledge representation through bookchain
5. Artificial Intelligence: A Tool to Resolve Thermal Behaviour Issues in Disc Braking System
6. Proposal of a Smart Framework for the Resolution of a Transportation System in a Smart City
7. Society 5.0: Effective Technology for Smart Society
8. Big data analytics opportunities and challenges to inform strategic and operational decisions for smart enterprise
9. Person-based Automation with Artificial Intelligence Chatbots: A driving force of Industry 4.0
- Edition: 1
- Published: August 14, 2022
- Imprint: Academic Press
- Language: English
AH
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, EgyptJM
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.
Affiliations and expertise
Assistant Professor, Department of CSE, Graphic Era University, Dehradun, IndiaVJ
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. IndiaRead Artificial Intelligence and Industry 4.0 on ScienceDirect