Title: Computational Intelligence in the Industry 4.0 Author: , , Munesh Chandra Trivedi ISBN: 1032540567 / 9781032540566 Format: Hard Cover Pages: 296 Publisher: CRC Press Year: 2024 Availability: Out of Stock
Description
Contents
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