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Titlebook: Machine Intelligence for Smart Applications; Opportunities and Ri Amina Adadi,Saad Motahhir Book 2023 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 18:40:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Intelligence for Smart Applications
副標(biāo)題Opportunities and Ri
編輯Amina Adadi,Saad Motahhir
視頻videohttp://file.papertrans.cn/621/620367/620367.mp4
概述Presents a comprehensive background of the latest advances in both MI and related technologies.Navigates the landscape of the most recent, prominent and impactful MI smart applications.Aimed at resear
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Machine Intelligence for Smart Applications; Opportunities and Ri Amina Adadi,Saad Motahhir Book 2023 The Editor(s) (if applicable) and The
描述.This book provides insights into recent advances in Machine Intelligence (MI) and related technologies, identifies risks and challenges that are, or could be, slowing down overall MI mainstream adoption and innovation efforts, and discusses potential solutions to address these limitations. All these aspects are explored through the lens of smart applications.?.The book navigates the landscape of the most recent, prominent, and impactful MI smart applications. The broad set of smart applications for MI is organized into four themes covering all areas of the economy and social life, namely (i) Smart Environment, (ii) Smart Social Living, (iii) Smart Business and Manufacturing, and (iv) Smart Government. The book examines not only present smart applications but also takes a look at how MI may potentially be applied in the future.?.This book is aimed at researchers and postgraduate students in applied artificial intelligence and allied technologies. The book is also valuable for practitioners, and it serves as a bridge between researchers and practitioners. It also helps connect researchers interested in MI technologies who come from different social and business disciplines and who c
出版日期Book 2023
關(guān)鍵詞Computational Intelligence; Machine Intelligence; Artificial Intelligence; Deep Learning; Machine Learni
版次1
doihttps://doi.org/10.1007/978-3-031-37454-8
isbn_softcover978-3-031-37456-2
isbn_ebook978-3-031-37454-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
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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Machine Intelligence for Smart Applications978-3-031-37454-8Series ISSN 1860-949X Series E-ISSN 1860-9503
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https://doi.org/10.1007/978-3-031-37454-8Computational Intelligence; Machine Intelligence; Artificial Intelligence; Deep Learning; Machine Learni
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Cluster Analysis as a Tool for the Territorial Categorization of Energy Consumption in Buildings Baseys temperature and relative humidity patterns, which can be visualized using Geographic Information Systems software. This methodology has broad implications for future studies on thermal comfort, energy poverty, and pollutant emissions and lays the foundation for replicable research on energy efficiency in housing and other related fields.
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1860-949X rominent and impactful MI smart applications.Aimed at resear.This book provides insights into recent advances in Machine Intelligence (MI) and related technologies, identifies risks and challenges that are, or could be, slowing down overall MI mainstream adoption and innovation efforts, and discusse
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