凝固
发表于 2025-3-21 16:50:53
书目名称Grid and Pervasive Computing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0388758<br><br> <br><br>书目名称Grid and Pervasive Computing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0388758<br><br> <br><br>
Presbycusis
发表于 2025-3-22 00:10:03
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小说
发表于 2025-3-22 03:00:14
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ADORE
发表于 2025-3-22 05:59:27
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竖琴
发表于 2025-3-22 11:13:59
James J. (Jong Hyuk) Park,Hamid R. Arabnia,Joon-Mi
不可磨灭
发表于 2025-3-22 14:22:33
Layering of the Provenance Data for Cloud Computingloud users on the other hand are interested in the performance of the deployed application and the verification of experiments. In this paper, we present various queries regarding the provenance data for different layers of Cloud. Hereby, we integrate the provenance data from individual layers and h
不可磨灭
发表于 2025-3-22 18:49:39
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daredevil
发表于 2025-3-23 00:32:04
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STIT
发表于 2025-3-23 02:04:41
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精美食品
发表于 2025-3-23 05:52:30
Sporadic Pancreatic Endocrine TumorsHadoop framework. We give an overview of our development on using a parallel filtering algorithm to improve the performance of a personal ontology based recommender system for digital library. The experimental results show that the proposed algorithm can indeed scale out the recommender systems for all pairs search.