Description

This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

IoT and WSN based Smart Cities: A Machine Learning Perspective

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£119.99

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Hardback by Shalli Rani , Vyasa Sai

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This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal... Read more

    Publisher: Springer Nature Switzerland AG
    Publication Date: 31/05/2022
    ISBN13: 9783030841812, 978-3030841812
    ISBN10: 3030841812

    Number of Pages: 284

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

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