| Description |
1 online resource (419 p.) |
| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- About the Editors -- List of Contributors -- Preface -- Chapter 1: A Novel Hybrid Approach Based on Attribute-Based Encryption for Secured Message Transmittal for Sustainably Smart Networks -- Chapter 2: Object Detection Using Deep Learning (DL) and OpenCV Approach -- Chapter 3: Enhancing Industrial Operations through AI-Driven Decision-Making in the Era of Industry 4.0 -- Chapter 4: Acne Detection Using Convolutional Neural Networks and Image-Processing Technique |
|
Chapter 5: Key Driving Technologies for Industry 4.0 -- Chapter 6: Opportunities and Challenges of Digital Connectivity for Industrial Internet of Things -- Chapter 7: Malicious QR Code Detection and Prevention -- Chapter 8: Integration of Advanced Technologies for Industry 4.0 -- Chapter 9: Challenges in Digital Transformation and Automation for Industry 4.0 -- Chapter 10: Design and Analysis of Embedded Sensors for IIoT: A Systematic Review -- Chapter 11: AI for Optimal Decision-Making in Industry 4.0 |
|
Chapter 12: Challenges in Lunar Crater Detection for TMC-2 Obtained DEM Image Using Ensemble Learning Techniques -- Chapter 13: A Framework of Intelligent Manufacturing Process by Integrating Various Function -- Chapter 14: Adaptive Supply Chain Integration in Smart Factories -- Chapter 15: Implementation of Intelligent CPS for Integrating the Industry and Manufacturing Process -- Chapter 16: Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors -- Chapter 17: Rising of Dark Factories due to Artificial Intelligence |
|
Chapter 18: Deep Learning for Real-Time Data Analysis from Sensors -- Chapter 19: Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0 -- Chapter 20: Energy Management in Industry 4.0 Using AI -- Chapter 21: Deployment of IoT with AI for Automation -- Chapter 22: A Comparison of the Performance of Different Machine Learning Algorithms for Detecting Face Masks -- Index |
| Summary |
The purpose of this book is to discuss the trends and key drivers of Internet of Things and AI for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise |
| Notes |
Description based upon print version of record |
| Subject |
Industry 4.0.
|
| Form |
Electronic book
|
| Author |
Nanjundan, Preethi
|
|
Paul, Sanchita
|
|
Mohanty, Sachi Nandan
|
| ISBN |
9781040041154 |
|
1040041159 |
|
