Intelligent Analytics for Industry 4.0 Applications

Avinash Chandra Pandey, Abhishek Verma, Vijaypal Singh Rathor, Munesh Singh, Ashutosh Kumar Singh, Avinash Chandra Pandey, Abhishek Verma, Vijaypal Singh Rathor, Munesh Singh, Ashutosh Kumar Singh

• Publisher: CRC Press
• Year: 2023
• Print ISBN: 9781032342412
• eBook ISBN: 9781000879094
• Topic: Business
• Subtopic: Business Intelligence
• Index: Business

The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and artificial intelligence and machine learning, into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive subdomains. To this end, the book will aim to review and highlight the challenges faced by intelligent analytics in Industry 4.0 and present the recent developments done to address those challenges.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Acknowledgments
• Editors
• Contributors
• Chapter 1 Analytics Approach for Intelligent Cyber-Physical System Integration in Industrial Internet of Things (Industry 4.0)
• Chapter 2 Digital Twins A State of the Art from Industry 4.0 Perspective
• Chapter 3 Human-Centered Approach to Intelligent Analytics in Industry 4.0
• Chapter 4 Advance in Robotics Industry 4.0
• Chapter 5 A Cloud-Based Real-Time Healthcare Monitoring System for CVD Patients
• Chapter 6 Assessment of Fuzzy Logic Assessed Recommender System A Critical Critique
• Chapter 7 Intelligent Analytics in Big Data and Cloud: Big Data; Analytics; Cloud
• Chapter 8 Various Audio Classification Models for Automatic Speaker Verification System in Industry 4.0
• Chapter 9 Trending IoT Platforms on Middleware Layer
• Chapter 10 Healthcare IoT: A Factual and Feasible Application of Industrial IoT
• Chapter 11 IoT-Based Spacecraft Anti-Collision HUD Design Formulation
• Chapter 12 Coverage of LoRaWAN in Vijayawada: A Practical Approach
• Chapter 13 Intelligent Health Care Industry for Disease Detection
• Chapter 14 Challenges with Industry 4.0 Security
• Chapter 15 Dodging Security Attacks and Data Leakage Prevention for Cloud and IoT Environments
• Chapter 16 Role of Blockchain in Industry 4.0
• Chapter 17 Blockchain and Bitcoin Security in Industry 4.0
• Chapter 18 Technology in Industry 4.0
• Chapter 19 Intelligent Analytics in Cyber-Physical Systems
• Chapter 20 An Overlook on Security Challenges in Industry 4.0
• Index