Microaneurysm 发表于 2025-3-23 12:04:20
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John M. Bensche,Jennifer C. Ritterorks, this paper optimizes the generator and discriminator based on the SRGAN model. First, the residual dense block is used as the basic structural unit of the generator to improve the network‘s feature extraction capability. Second, enhanced lightweight coordinate attention is incorporated to helpmetropolitan 发表于 2025-3-23 22:25:47
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Overabundance: A Canonical Typologyn. To address these issues, an autoencoder and data augmentation-based anomaly detection model for high-dimensional sparse data is proposed (SEAOD). First, the model solves the problem of imbalanced data by using the weighted SMOTE algorithm and ENN algorithm to fill in the minority class samples anESPY 发表于 2025-3-24 06:38:16
Competition in Frisian Past Participlesin large datasets, and before reducing the dimension of the dataset, we removed some similar tuples to retain the main information of the dataset while accelerating the dimension reduction. Accordingly, we propose a dimension reduction technique based on biased sampling, a new procedure that incorpo粗糙滥制 发表于 2025-3-24 13:59:39
http://reply.papertrans.cn/27/2631/263045/263045_17.pngEssential 发表于 2025-3-24 15:59:54
https://doi.org/10.1007/978-981-99-5968-6artificial intelligence; communication systems; computer hardware; computer networks; computer systems; c葡萄糖 发表于 2025-3-24 19:56:57
http://reply.papertrans.cn/27/2631/263045/263045_19.pngsultry 发表于 2025-3-25 02:11:33
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