FindBook      Google Book      Amazon      博客來     
  • Advances in deep learning applications for smart cities
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advances in deep learning applications for smart cities/ Rajeev Kumar and Rajesh Kumar Dwivedi, editors.
    其他作者: Dwivedi, Rakesh Kumar.
    出版者: Hershey, Pennsylvania :IGI Global, : 2022.,
    面頁冊數: 1 online resource (335 p.)
    內容註: Chapter 1. A study on the impact of AI of consumer behaviour with reference to commercial, industrial, and liability insurance in new India assurance in Mumbai -- Chapter 2. An application for human resource and humanoid management for smart cities -- Chapter 3. Challenges and opportunities for smart meters in smart cities of India using machine learning and deep learning -- Chapter 4. Data analytics in the smart city: dependent on cloud computing -- Chapter 5. Hindrance detection and avoidance in driverless cars through deep learning techniques -- Chapter 6. Human-machine interactions: a synthesis of threats and opportunities -- Chapter 7. Implementation of e-health services using machine learning for smart cities -- Chapter 8. Lora: a novel technology for reduced power consumption of street lights using IoT in smart cities -- Chapter 9. Machine learning applications to smart cities: a comparative study -- Chapter 10. Machine learning inautomobiles -- Chapter 11. Object detection methods for improving smart city safety -- Chapter 12. Progression of digital healthcare with deep learning and blockchain methods for smart cities -- Chapter 13. Smart city: a modernization for uplifting the standard of living of the citizens -- Chapter 14. Smart city: holistic development approach using the ICT paradigm an Indian perspective.
    標題: Smart cities. -
    電子資源: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9710-1
    ISBN: 9781799897125 (electronic bk.)
館藏地:  出版年:  卷號: 
館藏
  • 1 筆 • 頁數 1 •
 
W9464066 電子資源 11.線上閱覽_V 電子書 EB TD159.4 .A35 2022eb 一般使用(Normal) 在架 0
  • 1 筆 • 頁數 1 •
多媒體
評論
Export
取書館
 
 
變更密碼
登入