紀錄類型: |
書目-電子資源
: Monograph/item
|
正題名/作者: |
Convergence of deep learning and internet of things :/ [edited by] T. Kavitha, G. Senbagavalli, Deepika Koundal, Yanhui Guo, Deepak Jain. |
其他題名: |
computing and technology |
其他作者: |
Kavitha, T., |
出版者: |
Hershey, Pennsylvania :IGI Global, : 2023., |
面頁冊數: |
1 online resource (349 p.) :ill. (chiefly col.) |
內容註: |
Chapter 1. Intelligent devices, device management, and device security for cloud platforms -- Chapter 2. Intelligent broker design for IoT using a multi-cloud environment -- Chapter 3. Deep learning-based intelligent sensing in IoT -- Chapter 4. Deep learning-enabled edge computing and IoT -- Chapter 5. Distributed deep learning for IoT -- Chapter 6. Approaches for detecting and predicting attacks based on deep and reinforcement learning to improve information security -- Chapter 7. Enhancing quality of service in internet of things: deep learning approach and its challenges -- Chapter 8. Edge computing in intelligent IoT -- Chapter 9. Edge AI-based crowd counting application for public transport stops -- Chapter 10. Patient behavioral analysis with smart healthcare and IoT -- Chapter 11. Deep learning neural networks for online monitoring of the combustion process from flame colour in thermal power plants -- Chapter 12. Analysis of political and ideological systems in education with lightweight deep learning -- Chapter 13. Comparative analysis of feature selection methods for detection of Android malware -- Chapter 14. Applications of internet of things with deep learning. |
標題: |
Internet of things. - |
電子資源: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6275-1 |
ISBN: |
9781668462775 (electronic bk.) |