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Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s), under e

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書目名稱Intelligent Computing
副標題Proceedings of the 2
編輯Kohei Arai
視頻videohttp://file.papertrans.cn/470/469435/469435.mp4
概述Presents state of the art chapters on all aspects of Intelligent Computing.Covers both the theory and applications for latest technologies and methodologies.Proceedings of the Computing Conference 202
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s), under e
描述.Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you‘re an academic, researcher, or enthusiast, this concise volume offers a snapshot of the dynamic and collaborative spirit defining the Computing Conference 2024..
出版日期Conference proceedings 2024
關鍵詞Cloud Computing; High Performance Computing; Distributed Computing; Blockchain; Artificial Intelligence;
版次1
doihttps://doi.org/10.1007/978-3-031-62281-6
isbn_softcover978-3-031-62283-0
isbn_ebook978-3-031-62281-6Series 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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,Exploring Perceptions of Children’s Learning Stress for Stress Management,ent between the ages of 6–12. Cognitive flexibility is essential to cope stress and anxiety in daily life, making stress management necessary. Self-awareness of stress in children can aid in stress management, and visualizing stress can effectively enhance children‘s self-awareness of their stress l
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Trustworthy AI: Deciding What to Decide,ted when certain pieces of evidence contradict each other or become paradoxical. The primary challenge is how to determine which information can be trusted when we adopt Artificial Intelligence (AI) systems for decision-making. This issue is known as “deciding what to decide” or Trustworthy AI. Howe
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Enhancing Email Urgency Reply Prediction with ATAN-Transformer Fusion,n of email urgency is pivotal for efficient email management. Our study addresses this challenge by automating the critical process using advanced machine learning and deep learning algorithms. We introduce the Adaptive Temporal Attention Transformer Fusion (ATATFUSION), a novel methodology meticulo
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