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Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut

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發(fā)表于 2025-3-21 19:36:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Intelligent Systems and Applications
副標(biāo)題Proceedings of the 2
編輯Kohei Arai
視頻videohttp://file.papertrans.cn/477/476210/476210.mp4
概述Presents recent research in intelligent systems and applications.Gathers the proceedings of the Intelligent Systems Conference 2024 (IntelliSys 2024).Focuses on various areas of intelligent systems an
叢書(shū)名稱Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut
描述.This volume is a collection of meticulously crafted, insightful, and state-of-the-art papers presented at the Intelligent Systems Conference 2024, held in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Artificial Intelligence, Computer Vision, Robotics, Intelligent Systems, and more...We hope that readers find this volume both interesting and valuable. Furthermore, we expect that the conference and its proceedings will inspire further research and technological advancements in these critical areas of study...Thank you for engaging with this collection of works from the Intelligent Systems Conference 2024. Your interest and support contribute significantly to the ongoing progress and innovation in the field of intelligent systems..
出版日期Conference proceedings 2024
關(guān)鍵詞Artificial Intelligence; Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intel
版次1
doihttps://doi.org/10.1007/978-3-031-66431-1
isbn_softcover978-3-031-66430-4
isbn_ebook978-3-031-66431-1Series 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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,CBR Evaluation Pyramid: A Pragmatic Process for?Evaluating Case-Based Reasoning Systems,ot only provides researchers with a comprehensive guide to develop CBR-specific evaluation strategies, but also offers practitioners a pragmatic tool for the ongoing evaluation and maintenance of CBR systems.
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Conference proceedings 2024ld in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Art
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,Diagnosis of?Alzheimer’s Disease with?Deep Neural Networks,t to slow the progression of symptoms. Therefore, in recent years, there has been great interest in studying and developing automatic diagnostic systems that use medical examinations performed by patients as a data source. This paper addresses the use of deep learning models to diagnose Alzheimer’s
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,The Problem of?Many Vehicles: An Explainable System for?Autonomous Multi-agent Accidents,leveraging the FCI causal algorithm to generate a Full Time Causal Graph (FTCG). The framework’s performance is evaluated using simulated scenarios within the MetaDrive environment, employing key metrics such as accuracy, time, scalability, and stability. Results demonstrate promising accuracy in cr
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