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Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Xiankun Zhang,Yijie Pan Conference proceed

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期刊全稱Advanced Intelligent Computing Technology and Applications
期刊簡稱20th International C
影響因子2023De-Shuang Huang,Xiankun Zhang,Yijie Pan
視頻videohttp://file.papertrans.cn/168/167154/167154.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Xiankun Zhang,Yijie Pan Conference proceed
影響因子.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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978-981-97-5580-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Heinrich Bahlburg,Christoph Breitkreuzn edge devices are processing computationally intensive and time-sensitive application tasks. Offloading strategy is one of the key technologies of MEC. Current task offloading strategies often lead to problems of low server utilization rate and high delay in the offloading process, because they ove
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Heinrich Bahlburg,Christoph Breitkreuzet architecture, which has demonstrated limitations in effectively modeling long-range dependences. This shortfall impacts its ability to accurately capture subtle variations at the liver margin, often leading to segmentation inaccuracies. To overcome these limitations and enhance the local features
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Heinrich Bahlburg,Christoph Breitkreuzrehensive learning particle swarm optimization is proposed to overcome this drawback. First, the comprehensive learning mechanism and population partition mechanism is introduced to dynamically select and retain the excellent attributes of the best particle in each iteration. Then, the autonomy of a
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https://doi.org/10.1007/978-3-322-92726-2design cement materials. Micro-CT (.), as an advanced physical imaging device, can image internal structural information of cement hydration at the microscopic scale. However, due to limitations in the equipment price, maintenance costs, and single imaging time of the equipment itself, the acquisiti
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