A Roadmap for Enabling Industry 4.0 by Artificial Intelligence

Jyotir Moy Chatterjee, Harish Garg, R. N. Thakur

• Publisher: Wiley-Scrivener
• Year: 2022
• Print ISBN: 9781119904854
• eBook ISBN: 9781119905134
• Edition: 1
• Topic: Ciencia de la computación
• Subtopic: Inteligencia artificial (IA) y semántica

A ROADMAP FOR ENABLING INDUSTRY 4.0 BY ARTIFICAIAL INTELLIGENCE

The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0.

The industry 4.0 vision has been discussed for quite a while and the enabling technologies are now mature enough to turn this vision into a grand reality sooner rather than later. The fourth industrial revolution, or Industry 4.0, involves the infusion of technology-enabled deeper and decisive automation into manufacturing processes and activities. Several information and communication technologies (ICT) are being integrated and used towards attaining manufacturing process acceleration and augmentation. This book explores and educates the recent advancements in blockchain technology, artificial intelligence, supply chains in manufacturing, cryptocurrencies, and their crucial impact on realizing the Industry 4.0 goals. The book thus provides a conceptual framework and roadmap for decision-makers for implementing this transformation.

Audience

Computer and artificial intelligence scientists, information and communication technology specialists, and engineers in electronics and industrial manufacturing will find this book very useful.

Table of contents

• Cover
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 Artificial Intelligence—The Driving Force of Industry 4.0
• Chapter 2 Industry 4.0, Intelligent Manufacturing, Internet of Things, Cloud Computing: An Overview
• Chapter 3 Artificial Intelligence of Things (AIoT) and Industry 4.0–Based Supply Chain (FMCG Industry)
• Chapter 4 Application of Artificial Intelligence in Forecasting the Demand for Supply Chains Considering Industry 4.0
• Chapter 5 Integrating IoT and Deep Learning—The Driving Force of Industry 4.0
• Chapter 6 A Systematic Review on Blockchain Security Technology and Big Data Employed in Cloud Environment
• Chapter 7 Deep Learning Approach to Industrial Energy Sector and Energy Forecasting with Prophet
• Chapter 8 Application of Novel AI Mechanism for Minimizing Private Data Release in Cyber-Physical Systems
• Chapter 9 Environmental and Industrial Applications Using Internet of Things (IoT)
• Chapter 10 An Introduction to Security in Internet of Things (IoT) and Big Data
• Chapter 11 Potential, Scope, and Challenges of Industry 4.0
• Chapter 12 Industry 4.0 and Manufacturing Techniques: Opportunities and Challenges
• Chapter 13 The Role of Multiagent System in Industry 4.0
• Chapter 14 An Overview of Enhancing Encryption Standards for Multimedia in Explainable Artificial Intelligence Using Residue Number Systems for Security
• Chapter 15 Market Trends with Cryptocurrency Trading in Industry 4.0
• Chapter 16 Blockchain and Its Applications in Industry 4.0
• Index
• EULA