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發(fā)表于 2025-3-21 18:24:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Green, Pervasive, and Cloud Computing
編輯Hai Jin,Zhiwen Yu,Xianhua Song
視頻videohttp://file.papertrans.cn/389/388550/388550.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: ;
出版日期Conference proceedings 2024
版次1
doihttps://doi.org/10.1007/978-981-99-9893-7
isbn_softcover978-981-99-9892-0
isbn_ebook978-981-99-9893-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
The information of publication is updating

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發(fā)表于 2025-3-21 22:16:25 | 只看該作者
A Data Security Protection Method for Deep Neural Network Model Based on Mobility and Sharinge model, and to prevent watermarks from being forged, we use encryption algorithms to generate key samples. We conduct experiments on the VGG19 model using the CIFAR-10 dataset. Experimental results show that the method is robust to fine-tuning attacks, pruning attacks. Furthermore, our method does
板凳
發(fā)表于 2025-3-22 03:27:08 | 只看該作者
地板
發(fā)表于 2025-3-22 04:44:40 | 只看該作者
A Study of Sketch Drawing Process Comparation with Different Painting Experience via Eye Movements Aeft and down as a whole, the gaze was scattered, and the fixation on the central position of the picture was not focused and sustained. In addition, experienced painters put the sketch content in the center of the picture to attract the attention of the viewer and effectively convey the important in
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發(fā)表于 2025-3-22 19:40:17 | 只看該作者
Anomaly Detection of?Industrial Data Based on?Multivariate Multi Scale Analysis points across distinct spatial dimensions. Concurrently, GRU extracts temporal correlations embedded within data along a single dimension. Through the incorporation of graph attention networks, the model employs a dual-faceted correlation perspective for data prediction. Discrepancies between predi
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發(fā)表于 2025-3-22 21:14:58 | 只看該作者
Integration Model of Deep Forgery Video Detection Based on rPPG and Spatiotemporal Signalntegration model is constructed based on stacking strategy. Sufficient experiments show that the established fusion model can cope well with low-resolution cases and has good generalization performance, achieving 93.38% and 91.57% accuracy on FF++ c23 and celeb-DF-v2 data set, respectively.
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發(fā)表于 2025-3-23 01:51:14 | 只看該作者
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