找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Cloud Computing; 10th EAI Internation Lianyong Qi,Mohammad R. Khosravi,Varun G. Menon Conference proceedings 2021 ICST Institute for Comput

[復(fù)制鏈接]
查看: 46847|回復(fù): 54
樓主
發(fā)表于 2025-3-21 18:18:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Cloud Computing
副標(biāo)題10th EAI Internation
編輯Lianyong Qi,Mohammad R. Khosravi,Varun G. Menon
視頻videohttp://file.papertrans.cn/229/228407/228407.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Cloud Computing; 10th EAI Internation Lianyong Qi,Mohammad R. Khosravi,Varun G. Menon Conference proceedings 2021 ICST Institute for Comput
描述This book constitutes the refereed proceedings of the 10.th. International Conference on Cloud Computing, CloudComp 2020, held in Qufu, China, in December 2020. Due to COVID-19 pandemic the conference conference was held virtually.The 14 full papers were carefully reviewed and selected from 49 submissions. The book is organized in four general areas of cyber-physical intelligent computing, secure cloud systems and cloud-based privacy, cloud-based IoT architecture, and cloud cCmputing applications..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; communication; communication systems; computer networks; computer science; compu
版次1
doihttps://doi.org/10.1007/978-3-030-69992-5
isbn_softcover978-3-030-69991-8
isbn_ebook978-3-030-69992-5Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2021
The information of publication is updating

書目名稱Cloud Computing影響因子(影響力)




書目名稱Cloud Computing影響因子(影響力)學(xué)科排名




書目名稱Cloud Computing網(wǎng)絡(luò)公開度




書目名稱Cloud Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cloud Computing被引頻次




書目名稱Cloud Computing被引頻次學(xué)科排名




書目名稱Cloud Computing年度引用




書目名稱Cloud Computing年度引用學(xué)科排名




書目名稱Cloud Computing讀者反饋




書目名稱Cloud Computing讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:30:15 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:23:38 | 只看該作者
https://doi.org/10.1007/978-3-322-95390-2 lattice constructed by MCmR reduces redundant concepts while maintaining its structure and improve the efficiency of data analysis. We verify the valid of MCmR on multiple disease gene datasets, and its ACC in Prostate_Tumor, Lung_cancer, Breast_cancer and Leukemia datasets reached 95.4, 94.9, 96.0
地板
發(fā)表于 2025-3-22 07:38:38 | 只看該作者
https://doi.org/10.1007/978-3-322-89819-7f LSTM, and the self-attention mechanism to better exact features. We conduct extensive experiments on the KDDcup99 dataset to evaluate the performance of our CNN-A-LSTM model. Compared with other machine learning and deep learning models, our CNN-A-LSTM has superior performance.
5#
發(fā)表于 2025-3-22 09:58:44 | 只看該作者
Schlüsseltechnologie Mathematik support for fast and highly concurrent upload data and access data. Finally, the existing sensitive and private data storage methods of industrial block chain are analyzed, and the experimental comparison with the method in this paper proves the effectiveness of this method.
6#
發(fā)表于 2025-3-22 13:44:00 | 只看該作者
7#
發(fā)表于 2025-3-22 18:55:10 | 只看該作者
Schlüsseltechnologie-Industrienutational costs. We performed extensive experiments to valid the approach and compared it with a Spark Streaming approach. The results of the experiment show that the proposed approach has better cost optimization than the baseline approach.
8#
發(fā)表于 2025-3-23 00:44:06 | 只看該作者
9#
發(fā)表于 2025-3-23 03:17:41 | 只看該作者
https://doi.org/10.1007/978-3-531-90227-2anized semantic structures. Experimental results show that DSE improves the performance of text classification and outperforms the state-of-the-art feature generation baselines on micro-. and macro-. scores over the real-world text classification datasets.
10#
發(fā)表于 2025-3-23 06:32:02 | 只看該作者
 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 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-15 10:42
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
民和| 台南市| 旌德县| 紫金县| 满城县| 新晃| 溧阳市| 灌南县| 喀什市| 石河子市| 繁峙县| 托克逊县| 镇雄县| 宜君县| 綦江县| 修水县| 友谊县| 彰化县| 河南省| 潮安县| 湖南省| 怀远县| 延长县| 北宁市| 霸州市| 桃园市| 江都市| 兴宁市| 延长县| 阿勒泰市| 兴安县| 五家渠市| 阳原县| 开鲁县| 扎赉特旗| 甘谷县| 东城区| 乌拉特中旗| 东山县| 三门县| 北宁市|