Handbook of research on deep learning techniques for cloud-based industrial IoT /
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2023.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Chapter 1. Artificial intelligence in video surveillance
- Chapter 2. Content-based video retrieval with temporal localization using a deep bimodal fusion approach
- Chapter 3. Artificial intelligence of things for smart healthcare development: an experimental review
- Chapter 4. Cloud-based intelligent virtual try-on using augmented reality
- Chapter 5. Insulator fault detection from UAV images using YOLOv5
- Chapter 6. Blockchain-based deep learning approach for Alzheimer's disease classification
- Chapter 7. Intrusion detection on NF-bot-IoT dataset using artificial intelligence techniques
- Chapter 8. Real-time object detection and audio output system for blind users: using YOLOv3 algorithm and 360 degree camera sensor
- Chapter 9. Role of IoT technologies in agricultural ecosystems
- Chapter 10. Applications of deep learning in robotics
- Chapter 11. A multicloud-based deep learning model for smart agricultural applications
- Chapter 12. Automated MP3 tag editor via data mining: a classification software for predicting MP3 metadata
- Chapter 13. Machine learning-integrated IoT-based smart home energy management system
- Chapter 14. Generating complex animated characters of various art styles with optimal beauty scores using deep generative adversarial networks
- Chapter 15. Cloud-based TPA auditing with risk prevention
- Chapter 16. Detection and classification of dense tomato fruits by integrating coordinate attention mechanism with YOLO model
- Chapter 17. A study on an internet of things (IoT)-enabled smart solar grid system
- Chapter 18. Accuracy determination: an enhanced intrusion detection system using deep learning approach
- Chapter 19. IoT-based smart accident detection and alert system
- Chapter 20. Revolutionizing the farm-to-table journey: a comprehensive review of blockchain technology in agriculture supply chain
- Chapter 21. Blockchain-based messaging system for secure and private communication: using blockchain and double AES encryption
- Chapter 22. Artificial intelligence in cyber security.