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Published by Elsevier - Health Sciences Division, 2023
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Published by John Wiley and Sons Ltd, 2021
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Taschenbuch. Condition: Neu. Artificial Intelligence and Machine Learning in Smart City Planning | Vedik Basetti (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2023 | Elsevier | EAN 9780323995030 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Add to basketCondition: New. Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities Explains soft computing techniques for smart city applications Describes how to model problems for effective analysis, inte.
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Published by Elsevier - Health Sciences Division Jan 2023, 2023
ISBN 10: 0323995039 ISBN 13: 9780323995030
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence and Machine Learning in Smart City Planning 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. 360 pp. Englisch.
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Published by Elsevier Science & Technology, Elsevier, 2023
ISBN 10: 0323995039 ISBN 13: 9780323995030
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence and Machine Learning in Smart City Planning 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.