AI-Driven IoT Systems for Industry 4.0
eBook - ePub

AI-Driven IoT Systems for Industry 4.0

  1. 418 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

AI-Driven IoT Systems for Industry 4.0

Book details
Table of contents
Citations

About This Book

The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.

A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.

This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.

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Yes, you can access AI-Driven IoT Systems for Industry 4.0 by Deepa Jose, Preethi Nanjundan, Sanchita Paul, Sachi Nandan Mohanty, Deepa Jose,Preethi Nanjundan,Sanchita Paul,Sachi Nanda Mohanty,Sachi Nandan Mohanty in PDF and/or ePUB format, as well as other popular books in Informatique & Ingénierie de l'informatique. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2024
ISBN
9781040041222
Edition
1
Topic
Informatique
Subtopic
Ingénierie de l'informatique

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. About the Editors
  8. List of Contributors
  9. Preface
  10. Chapter 1 A Novel Hybrid Approach Based on Attribute-Based Encryption for Secured Message Transmittal for Sustainably Smart Networks
  11. Chapter 2 Object Detection Using Deep Learning (DL) and OpenCV Approach
  12. Chapter 3 Enhancing Industrial Operations through AI-Driven Decision-Making in the Era of Industry 4.0
  13. Chapter 4 Acne Detection Using Convolutional Neural Networks and Image-Processing Technique
  14. Chapter 5 Key Driving Technologies for Industry 4.0
  15. Chapter 6 Opportunities and Challenges of Digital Connectivity for Industrial Internet of Things
  16. Chapter 7 Malicious QR Code Detection and Prevention
  17. Chapter 8 Integration of Advanced Technologies for Industry 4.0
  18. Chapter 9 Challenges in Digital Transformation and Automation for Industry 4.0
  19. Chapter 10 Design and Analysis of Embedded Sensors for IIoT: A Systematic Review
  20. Chapter 11 AI for Optimal Decision-Making in Industry 4.0
  21. Chapter 12 Challenges in Lunar Crater Detection for TMC-2 Obtained DEM Image Using Ensemble Learning Techniques
  22. Chapter 13 A Framework of Intelligent Manufacturing Process by Integrating Various Function
  23. Chapter 14 Adaptive Supply Chain Integration in Smart Factories
  24. Chapter 15 Implementation of Intelligent CPS for Integrating the Industry and Manufacturing Process
  25. Chapter 16 Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors
  26. Chapter 17 Rising of Dark Factories due to Artificial Intelligence
  27. Chapter 18 Deep Learning for Real-Time Data Analysis from Sensors
  28. Chapter 19 Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
  29. Chapter 20 Energy Management in Industry 4.0 Using AI
  30. Chapter 21 Deployment of IoT with AI for Automation
  31. Chapter 22 A Comparison of the Performance of Different Machine Learning Algorithms for Detecting Face Masks
  32. Index