找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Nature of Computation and Communication; 7th EAI Internationa Phan Cong Vinh,Nguyen Huu Nhan Conference proceedings 2021 ICST Institute for

[復(fù)制鏈接]
樓主: Fixate
21#
發(fā)表于 2025-3-25 05:55:34 | 只看該作者
Improving Morphology and Recurrent Residual Refinement Network to Classify Hypertension in Retinal retinal 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
22#
發(fā)表于 2025-3-25 08:23:37 | 只看該作者
,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
23#
發(fā)表于 2025-3-25 12:41:48 | 只看該作者
24#
發(fā)表于 2025-3-25 18:24:27 | 只看該作者
25#
發(fā)表于 2025-3-25 22:40:25 | 只看該作者
26#
發(fā)表于 2025-3-26 03:29:36 | 只看該作者
27#
發(fā)表于 2025-3-26 05:34:24 | 只看該作者
28#
發(fā)表于 2025-3-26 08:55:37 | 只看該作者
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 missi
29#
發(fā)表于 2025-3-26 14:40:56 | 只看該作者
30#
發(fā)表于 2025-3-26 17:49:22 | 只看該作者
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
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-19 15:40
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
枝江市| 深州市| 资源县| 涪陵区| 都昌县| 肥东县| 临武县| 孙吴县| 青田县| 东方市| 乌鲁木齐市| 鹤山市| 河西区| 安庆市| 磐安县| 鹿泉市| 青铜峡市| 内乡县| 东海县| 亳州市| 永昌县| 峨眉山市| 淮北市| 吴堡县| 神农架林区| 渝中区| 塔城市| 南昌县| 延安市| 昌乐县| 吴忠市| 静乐县| 黔江区| 丘北县| 台州市| 平阴县| 阳山县| 黄大仙区| 长春市| 大洼县| 衡山县|