Description

This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity.

This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities.

Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers.

Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing
Offers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformation
Discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure
Covers the effects that the 4th Industrial Revolution has on industrial infrastructures
Looks at industry change patterns and innovations that are speeding up industrial transformation activities
Om Prakash Jena is currently working as an associate professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India.

Sabyasachi Pramanik is an assistant professor in the Department of Computer Science and Engineering, Haldia Institute of Technology, India.

Ahmed A. Elngar is an associate professor in the Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt. He is also an associate professor in the College of Computer Information Technology, chair of the Scientific Innovation Research Group (SIRG), and director of the Technological and Informatics Studies Center (TISC), American University in the Emirates, United Arab Emirates.

Table of Contents
Chapter 1: Integration of Big Data, Machine Learning, and Blockchain Technology

Sadia Showkat and Shaima Qureshi

Chapter 2: Blockchain in Digital Libraries: State of the Art, Trends, and Challenges

Pramod Kumar Hota, Lopamudra Hota, and Prasant Kumar Dash

Chapter 3: An Integration of Blockchain and Machine Learning into the Health Care System

Mahita Sri Arza and Sandeep Kumar Panda

Chapter 4: Blockchain for the Industrial Internet of Things

Roheen Qamar and Fareed Jokhio

Chapter 5: Security Measures for Blockchain Technology

Satpal Singh Kushwaha, Amit Kumar Bairwa, Sandeep Chaurasia, Vineeta Soni, and Venkatesh Gauri Shankar

Chapter 6: An Analysis of Data Management in Industry 4.0 Using Big Data Analytics

Jyoti Khandelwal and Jyoti Anand

Chapter 7: Exploring Role of Industry 4.0 Techniques for Building a Promising Circular Economy Concept: Manufacturing Industry Perspective

R. Adimuthu, K.Muduli, M. Ray, S. Singh, and T. S. T. Ahmad

Chapter 8: Comparative Analysis of Blockchain-Based Consensus Algorithms for Suitability in Critical IoT Infrastructures

Sadia Showkat and Shaima Qureshi

Chapter 9: Quantum Machine Learning and Big Data for Real-Time Applications: A Review

Shruti Pophale and Amit Gadekar

Chapter 10: Sensors-Based Automatic Human Body Detection and Prevention System to Avoid Entrap Mortality inside a Vehicle

Suraj Arya, Raman Sanjay, and Preeti Sharma

Chapter 12: Mechanism to Protect Decentralized Transaction Using Blockchain Technology

Ajay B Gadicha, Vijay B Gadicha, and Om Prakash Jena