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

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書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)




書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開(kāi)度




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications年度引用




書目名稱Advanced Intelligent Computing Technology and Applications年度引用學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋學(xué)科排名

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Chauvinistic

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

finale

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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ALT

,Analyse von Einschwingvorg?ngen,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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