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Titlebook: Digital Transformation: What are the Smart Cities Today?; Mustika Sari,Anastasia Kulachinskaya Book 2024 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 18:42:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Digital Transformation: What are the Smart Cities Today?
編輯Mustika Sari,Anastasia Kulachinskaya
視頻videohttp://file.papertrans.cn/280/279852/279852.mp4
概述Focuses on current trends in the development of smart cities.Presents specific proposals and recommendations on a whole range of areas for smart cities‘ development.Proposes to look at the problem thr
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Digital Transformation: What are the Smart Cities Today?;  Mustika Sari,Anastasia Kulachinskaya Book 2024 The Editor(s) (if applicable) and
描述.This book presents various models and approaches, specific proposals, and recommendations on a whole range of areas for smart cities‘ development. This book proposes to look at the problem through a broad overview of all elements of a smart city as a single system: smart governance, smart buildings, smart transportation, smart tourism destinations, smart economy, and smart environment...The book is intended for both young and experienced scientists who want to get acquainted with the latest trends and data for using them in their research...?.
出版日期Book 2024
關鍵詞Computational intelligence; Smart City Transport System; Environmental Safety of the Transport System;
版次1
doihttps://doi.org/10.1007/978-3-031-49390-4
isbn_softcover978-3-031-49389-8
isbn_ebook978-3-031-49390-4Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Resource Management for TensorFlow Inferencethat baseline is effective method of different methods’ comparison, but also the crash data has the pattern of unbalancing that can cause of obtaining the proper results. Therefore, further direction of the research is applying different oversampling methods with machine learning predictive models.
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Machine Learning Algorithms as a Tool for Improving Road Safety,that baseline is effective method of different methods’ comparison, but also the crash data has the pattern of unbalancing that can cause of obtaining the proper results. Therefore, further direction of the research is applying different oversampling methods with machine learning predictive models.
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Book 2024is book proposes to look at the problem through a broad overview of all elements of a smart city as a single system: smart governance, smart buildings, smart transportation, smart tourism destinations, smart economy, and smart environment...The book is intended for both young and experienced scienti
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