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Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Chuanlei Zhang,Wei Chen Conference proceed

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发表于 2025-3-21 17:44:37 | 显示全部楼层 |阅读模式
期刊全称Advanced Intelligent Computing Technology and Applications
期刊简称20th International C
影响因子2023De-Shuang Huang,Chuanlei Zhang,Wei Chen
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Chuanlei Zhang,Wei Chen Conference proceed
影响因子.This 13-volume set LNCS 14862-14874 constitutes - in conjunction with the 6-volume set LNAI 14875-14880 and the two-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024...The total of 863 regular papers were carefully reviewed and selected from 2189 submissions...This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology..
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https://doi.org/10.1007/978-981-97-5591-2Swarm Intelligence and Optimization; Neural Networks; Signal Processing; Pattern Recognition; Evolutiona
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978-981-97-5590-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-3-658-31829-1 detection methods encounter challenges in following aspects: capturing sparsity, nonlinearity, and ensuring the uniqueness of anomalies. To address these issues, this paper introduces an autoencoder framework built upon multi-mode graph attention networks, which models attribute networks using grap
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,Analyse von Einschwingvorgängen,tructures. However, this task is costly and requires significant human effort due to the varying appearance of different concrete materials caused by changing weather conditions and lighting intensities, especially the various uncertain graffiti markings, and the random overlapping of defect types o
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Grundlagen der Elektrotechnik 2h requires substantial computational and memory resources, limiting the deployment of the model on edge devices. In this paper, we analyze the challenges of channel compression in stereo matching models and adopt a straightforward and efficient compression method. Our method focuses on the channel c
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