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Titlebook: Cognitive Systems and Information Processing; 8th International Co Fuchun Sun,Qinghu Meng,Bin Fang Conference proceedings 2024 The Editor(s

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发表于 2025-3-21 18:24:31 | 显示全部楼层 |阅读模式
书目名称Cognitive Systems and Information Processing
副标题8th International Co
编辑Fuchun Sun,Qinghu Meng,Bin Fang
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Cognitive Systems and Information Processing; 8th International Co Fuchun Sun,Qinghu Meng,Bin Fang Conference proceedings 2024 The Editor(s
描述.The two-volume set CCIS 1918 and 1919 constitutes the refereed post-conference proceedings of the 8th International Conference on Cognitive Systems and Information Processing, ICCSIP 2023, held in Luoyang, China, during August 10–12, 2023. .The 52 full papers presented in these proceedings were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: .Volume I : Award; Algorithm & Control; and Application..Volume II: Robotics & Bioinformatics; and Vision..
出版日期Conference proceedings 2024
关键词artificial intelligence; robotics; sensors; machine learning; computer applications; mobile robotics; cogn
版次1
doihttps://doi.org/10.1007/978-981-99-8018-5
isbn_softcover978-981-99-8017-8
isbn_ebook978-981-99-8018-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-3-319-32247-6 input, and support vector machine is applied to construct an ACTH drug efficacy prediction model, which achieves 96. accuracy. This study contributes to the early prediction of ACTH treatment efficacy and can help to develop appropriate treatment.
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Semantics and Psychology of Spiritualityining, a unified loss function guides the alternating optimization of both paths. Evaluation of prominent benchmark datasets, including Set5, Set11, and BSD68, reveals that our proposed method outperforms traditional iterative approaches and existing deep learning-based methodologies in terms of bot
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Truth from Anselm of Canterbury to Kant, prior suboptimal knowledge with reinforcement learning. We refer to it as KGRL - Knowledge-Guided Reinforcement Learning. The KGRL framework includes defining fuzzy rules based on prior knowledge, learning an initial policy based on fuzzy rules, and guiding the new policy through knowledge-guided e
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The Syntax of Metaphorical Semantic Rolesen, the Bayesian inference mechanism is used to convert the statistical indicators of different sub-blocks into posterior probabilities, and the fusion strategy is used to obtain a more comprehensive monitoring indicator, so that the indicator can indicate the process state more comprehensively. Fin
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