Topics in Artificial Intelligence Applied to Industry 4.0

Mahmoud Ragab AL-Refaey, Amit Kumar Tyagi, Abdullah Saad AL-Malaise AL-Ghamdi, Swetta Kukreja

• Publisher: Wiley
• Year: 2024
• Print ISBN: 9781394216116
• eBook ISBN: 9781394216123
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Topics in Artificial Intelligence Applied to Industry 4.0

Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0

Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies.

The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines.

Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as:

• Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data
• Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations
• Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment
• Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies

Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.

Table of contents

• Cover
• Title Page
• Copyright Page
• Contents
• About the Editors
• List of Contributors
• Preface
• Acknowledgment
• Chapter 1 Introduction to Industry 4.0 and Its Impacts on Society
• Chapter 2 Digital Transformation Using Industry 4.0 and Artificial Intelligence
• Chapter 3 Industry 4.0: Design Principles, Challenges, and Applications
• Chapter 4 Detection from Chest X-Ray Images Based on Modified Deep Learning Approach
• Chapter 5 Smart Technologies in Manufacturing Industries: A Useful Perspective
• Chapter 6 Blockchain Technology for Industry 4.0
• Chapter 7 Unifying Technologies in Industry 4.0: Harnessing the Synergy of Internet of Things, Big Data, Augmented Reality/ Virtual Reality, and Blockchain Technologies
• Chapter 8 Industry 4.0 in Manufacturing, Communication, Transportation, and Health Care
• Chapter 9 Transforming Education Management in the Industry 4.0 Era: Harnessing the Power of Cloud-Based Blockchain
• Chapter 10 Future Professions in Agriculture, Medicine, Education, Fitness, Research and Development, Transport, and Communication
• Chapter 11 Cybersecurity Issues and Challenges in Quantum Computing
• Chapter 12 Security, Privacy, Trust, and Other Issues in Industries 4.0
• Chapter 13 Designing a Quantum Computer to Gear up Artificial Intelligence for Industry 4.0
• Chapter 14 Opportunities in Neural Networks for Industry 4.0
• Chapter 15 A Smarter Way to Collect and Store Data: AI and OCR Solutions for Industry 4.0 Systems
• Index
• EULA