Computational Intelligence in the Industry 4.0

This book discusses the importance of using industrial intelligence in collaboration with computational intelligence in forming a smart system for diverse applications. It further illustrates the challenges and deployment issues in industrial resolution. The text highlights innovation and applications of computational agents and the industrial intelligence era to automate the requirements as per industry 4.0.

This book:

• Discusses computational agents for handling automation issues and the role of ethics in industrial resolution.                                                                                                                 
• Presents intelligence approaches for products, operations, systems, and services.                                                                                                         
• Illustrates the fundamentals of computational intelligence to forecast and analyze the requirements of society for automation as well as recent innovations and applications.                                                                                                            
• Highlights computation intelligence approaches in reducing human effort and automating the analysis of the production unit.                                                                                                                
• Showcases current innovation and applications of computational agents and Industrial Intelligence as per industry 4.0.                                                                                                         

The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics, and communications engineering, industrial engineering, manufacturing engineering, computer science, and engineering.                

Preface

Chapter 1 : Introduction to Automation
Chapter 2 : RPA and Test Automation
Chapter 3 : Intelligent Computing Relating to Cloud Computing
Chapter 4 : Communication Protocols used for Industrial Automation
Chapter 5 : Market Watch
Chapter 6 : Study on Cybersecurity : Trending Challenges, Emerging Trends, and Threats
Chapter 7 : Intelligence Approaches for Products, Operations, Systems, Service
Chapter 8 : Parkison’s Disease Detection using Machine Learning Models
Chapter 9 : A Comparison between Nonlinear Mapping and High-resolution Image
Chapter 10 : Issues in Industrial Resolution
Chapter 11 : Hate Speech Detection using Machine Learning Models
Chapter 12 : Digital Twin Technology for Industrial Automation
Chapter 13 : A Theoretical Analysis of Simple Retrieval Engine

Index