书目名称 | Computational Intelligence Techniques for Green Smart Cities | 编辑 | Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh | 视频video | | 概述 | Proposes the latest discoveries of machine intelligence techniques and methods for green smart cities.Presents high-quality and original research on computational intelligence for green smart cities r | 丛书名称 | Green Energy and Technology | 图书封面 |  | 描述 | .This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens‘ quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances.Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or addi | 出版日期 | Book 2022 | 关键词 | Computational Intelligence; Artificial Intelligence; Machine Learning; Green smart city; Green IoT; Green | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-96429-0 | isbn_softcover | 978-3-030-96431-3 | isbn_ebook | 978-3-030-96429-0Series ISSN 1865-3529 Series E-ISSN 1865-3537 | issn_series | 1865-3529 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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