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  • Convergence of deep learning and internet of things : = computing and technology
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Convergence of deep learning and internet of things :/ [edited by] T. Kavitha, G. Senbagavalli, Deepika Koundal, Yanhui Guo, Deepak Jain.
    Reminder of title: computing and technology
    other author: Kavitha, T.,
    Published: Hershey, Pennsylvania :IGI Global, : 2023.,
    Description: 1 online resource (349 p.) :ill. (chiefly col.)
    [NT 15003449]: 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.
    Subject: Internet of things. -
    Online resource: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6275-1
    ISBN: 9781668462775 (electronic bk.)
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W9464106 電子資源 11.線上閱覽_V 電子書 EB TK5105.8857 .C67 2023eb 一般使用(Normal) On shelf 0
  • 1 records • Pages 1 •
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