Artificial Intelligence and Industry 4.0

Erscheinungsjahr 2022
ISBN: 978-0-323-88468-6
Verlag: Elsevier Science & Technology

Buch, Englisch, 262 Seiten, Format (B × H): 233 mm x 193 mm, Gewicht: 562 g

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.

Autoren/Hrsg.

Hassanien, Aboul Ella

Moy Chatterjee, Jyotir

Jain, Vishal

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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

Über Autor(innen)

Hassanien, Aboul Ella
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.

Jain, Vishal
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.

Moy Chatterjee, Jyotir
Dr. 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.