Artificial intelligence and machine learning in smart city planning / edited by Vedik Basetti, Chandan Kumar Shiva, Mohan Rao Ungarala, Shriram S. Rangarajan.

Contributor(s): Basetti, Vedik [editor.] | Shiva, Chandan Kumar [editor.] | Ungarala, Mohan Rao [editor.] | Rangarajan, Shriram S [editor.]Material type: TextTextPublisher: Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA : Elsevier, [2023]Description: 1 online resource (xvi, 344 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9780323995047; 0323995047Subject(s): Smart cities -- Data processing | Artificial intelligence | City planning -- Data processingAdditional physical formats: Print version:: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SMART CITY PLANNING.DDC classification: 307.76028563 LOC classification: TD159.3 | .A78 2023Online resources: ScienceDirect
Contents:
Smart city framework and implementation -- Smart water management -- Smart education -- Smart environment -- Smart transportation -- Tackling cyber attacks -- Smart communications.
Summary: "Shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques" -- Provided by publisher.
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Includes bibliographical references and index.

Smart city framework and implementation -- Smart water management -- Smart education -- Smart environment -- Smart transportation -- Tackling cyber attacks -- Smart communications.

"Shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques" -- Provided by publisher.

Description based on online resource; title from digital title page (viewed on March 23, 2023).

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