資料來源: Google Book

Advances in deep learning applications for smart cities[electronic resource]

  • 其他作者: Dwivedi, Rakesh Kumar. , Kumar, Rajeev. , IGI Global.
  • 出版: Hershey, Pennsylvania : IGI Global 2022.
  • 稽核項: 1 online resource (335 p.).
  • 標題: Machine learning. , City planning Data processing. , Smart cities. , Data processing. , Electronic books. , City planning
  • ISBN: 1799897109 , 9781799897101
  • 試查全文@TNUA:
  • 附註: Includes bibliographical references and index. 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.
  • 摘要: Emergence of smart city : smart city / Anu Sharma, RK Dwivedi -- An application for human resource and humanoids management for smart city / Abhay Saxena, Ashutosh Bhatt -- Human-machine interactions' a synthesis of threats and opportunities / Priyadarsini Patnaik -- Machine learning applications to smart city : a comparative study / Nikita Malik, Menal Dahiya, Nipun Walia -- Object detection methods for improving smart city safety / Kavita Srivastava -- Emergence of smart city concept : smart city / Anu Sharma, RK Dwivedi -- Challenges and opportunities for SMART meters in smart cities of India using machine learning and deep learning / Rupal Gupta, Ruchika Gupta -- Machine learning in automobiles / Preety Khatri, Rohit Kumar. "This book provides both a foundational base of knowledge around deep learning and blockchain application for smart cities and explore plentiful ways that smart cities of the future must aspire to accommodate increasing technology and their expectations of, modern living, integrated societies, knowledge-based workforce, factory automation, virtual-real social behaviors and more."
  • 電子資源: https://dbs.tnua.edu.tw/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9710-1
  • 系統號: 005331119
  • 資料類型: 電子書
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  • 引用網址: 複製連結
Industrial informatics lies at the strategic intersection of multiple disciplines that can comprehensively realize a learning vision of smart cities. This book is ideal for academicians, researchers, authors, industry experts, software engineers, and students.
來源: Google Book
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