اینترنت اشیاء صنعتی: فناوری‌ها و مسیرهای تحقیقاتی ۲۰۲۲
Industrial Internet of Things: Technologies and Research Directions 2022

1. Cover Page

2. Half-Title Page

3. Series Page

4. Title Page

5. Copyright Page

6. Contents

7. Preface

8. About the Authors

9. Contributors

10. Chapter 1 Artificial Intelligence and Machine Learning for the Industrial Internet of Things (IIoT)

11. Chapter 2 Role of Internet of Things (IoT) in Electronic Waste Management

12. Chapter 3 Creating a Reliable IIoT Framework to Prioritize Workplace Safety in Industries Involving Hazardous Processes

13. Chapter 4 Parkinson Disease Prediction and Drug Personalization Using Machine Learning Techniques

14. Chapter 5 IoT and Deep Learning-Based Prophecy of COVID-19

15. Chapter 6 Machine Learning Applications and Challenges to Protect Privacy in the Internet of Things

16. Chapter 7 IoT-Enabled Heart Disease Prediction Using Machine Learning

17. Chapter 8 Internet of Everything, the Future of Globalization: A Comprehensive Study

18. Chapter 9 A Review of Human–Robot Interaction for Automated Guided Vehicles Using Robot Operating Systems

19. Chapter 10 Analysis of Cascading Behavior in Social Networks and IoT

20. Chapter 11 Performance Evaluation of Machine Learning Classifiers for Memory Assessment Using EEG Signal

21. Chapter 12 Robotic Operating System and Human–Robot Interaction for Automated Guided Vehicles (AGVs): An Application of Internet of Things in Industries

22. Chapter 13 A Review on IoT Architectures, Protocols, Security, and Applications

23. Chapter 14 Performance Analysis of Distributed Mobility Protocol for Multi-Hop IoT Networks

24. Chapter 15 Comparative Analysis of Emotional State Classification Using Different Machine Learning Techniques

25. Chapter 16 A Survey on Antennas for IIoT Application

26. Index