谦卑 发表于 2025-3-25 05:55:34
Improving Morphology and Recurrent Residual Refinement Network to Classify Hypertension in Retinalretinal blood vessel segmentation is one of the state-of-the-art approaches. Therefore, the detection and classification of hypertensive retinal images is very useful in the diagnosis of hypertension. This paper proposed a method for the hypertension classification based on saliency, in which the e手工艺品 发表于 2025-3-25 08:23:37
,The Impacts of the Contextual Substitutions in Vietnamese Micro-text Augmentation,verfitting. However, the annotated dataset is unavailable, especially for the low resource languages. Building them is a tedious, time-consuming and expensive task. Thus, data augmentation has been mentioned as a perfect approach to generate the annotated data from the limited data without user inte言外之意 发表于 2025-3-25 12:41:48
http://reply.papertrans.cn/67/6621/662036/662036_23.png贪心 发表于 2025-3-25 18:24:27
http://reply.papertrans.cn/67/6621/662036/662036_24.pngInterferons 发表于 2025-3-25 22:40:25
http://reply.papertrans.cn/67/6621/662036/662036_25.pngCostume 发表于 2025-3-26 03:29:36
http://reply.papertrans.cn/67/6621/662036/662036_26.pngSTERN 发表于 2025-3-26 05:34:24
http://reply.papertrans.cn/67/6621/662036/662036_27.png预知 发表于 2025-3-26 08:55:37
An Improved Algorithm to Protect Sensitive High Utility Itemsets in Transaction Database, transaction databases from being exploited by data mining techniques. This paper studies methods to hide sensitive high utility itemsets in transaction databases. There are some effective methods to deal with this problem, but these methods still cause undesirable side effects, such as: being missiPalpate 发表于 2025-3-26 14:40:56
http://reply.papertrans.cn/67/6621/662036/662036_29.pngUnsaturated-Fat 发表于 2025-3-26 17:49:22
Predicting Vietnamese Stock Market Using the Variants of LSTM Architecture,rket prediction. However, achieving good results in prediction is still a challenge in research and there are very few studies applied to Vietnamese stock market data. Therefore, it is necessary to improve or introduce new forms of prediction. Specifically, we have focused on the stock prediction pr