附註:Includes bibliographical references and index.
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.
摘要:"For those interested in design and building intelligent Internet of Things, this research book offers solutions with the state-of-the-art and novel approaches for the IoT problems and challenges from a deep learning perspective"--
