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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 19:36:47 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Intelligent Systems and Applications
副標題Proceedings of the 2
編輯Kohei Arai
視頻videohttp://file.papertrans.cn/471/470030/470030.mp4
概述Presents recent research in intelligent systems and applications.Gathers the proceedings of the Intelligent Systems Conference 2022 (IntelliSys 2022).Focuses on various areas of intelligent systems an
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut
描述.The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings..This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence..
出版日期Conference proceedings 2024
關鍵詞Artificial Intelligence; Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intel
版次1
doihttps://doi.org/10.1007/978-3-031-47715-7
isbn_softcover978-3-031-47714-0
isbn_ebook978-3-031-47715-7Series 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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沙發(fā)
發(fā)表于 2025-3-21 21:17:23 | 只看該作者
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/i/image/470030.jpg
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發(fā)表于 2025-3-22 02:45:48 | 只看該作者
https://doi.org/10.1007/978-3-031-47715-7Artificial Intelligence; Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intel
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發(fā)表于 2025-3-22 05:03:25 | 只看該作者
978-3-031-47714-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-22 12:34:30 | 只看該作者
Intelligent Systems and Applications978-3-031-47715-7Series ISSN 2367-3370 Series E-ISSN 2367-3389
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Locally Enhanced Chan-Vese Model with Anisotropic Mesh Adaptation for Intensity Inhomogeneous Imagecy. Numerical results demonstrate that our proposed LECV model provides better segmentation for images with inhomogeneous intensity than the traditional Chan-Vese model as well as a few commonly used models.
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SIM_RL: A New Approach for Integrating Simulation with Reinforcement Learning, The main advantages of this approach are computational resource savings, reduced need for physical experiments, and the ability to predict system behavior based on actual results. Moreover, this approach can be used in various disciplines to solve complex simulation problems.
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