NK871
发表于 2025-3-21 16:06:09
书目名称Computational Collective Intelligence影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0232182<br><br> <br><br>书目名称Computational Collective Intelligence读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0232182<br><br> <br><br>
amorphous
发表于 2025-3-21 23:16:03
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栖息地
发表于 2025-3-22 01:25:37
Yi-Zhi Huang,Li-Ming Wu,Mao-Chun Hongtax and deems to enable the modeler to compare different data metamodels, and express semantics-aware translations between different metamodels. The method is based on the Semantics Of Business Vocabulary And Rules standard. Moreover, the paper describes the Association-Oriented Metamodel as a case study for the method.
死亡率
发表于 2025-3-22 07:27:31
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232182.jpg
OVERT
发表于 2025-3-22 10:34:52
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adjacent
发表于 2025-3-22 13:11:29
Ferroelectrics and Other Ferroic Materials,panies. The more accurate the link prediction results will bring satisfaction, reduce and avoid risks, and commercial benefits. Almost all state-of-the-art models focus on the deep learning approach, especially using convolutional neural networks (CNN). By analysing the strengths and weaknesses of t
adjacent
发表于 2025-3-22 18:30:29
https://doi.org/10.1007/978-3-642-29618-5 Among the state-of-the-art approaches, the approach based on the geometric transformations has the strong point of good intuition representation. Besides, the relations in the knowledge graph is diverse, so the embedding needs to be flexible. For that reason, we focus on analyzing the characteristi
异端邪说2
发表于 2025-3-22 21:56:42
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Hyperlipidemia
发表于 2025-3-23 04:50:13
Yi-Zhi Huang,Li-Ming Wu,Mao-Chun Hongtax and deems to enable the modeler to compare different data metamodels, and express semantics-aware translations between different metamodels. The method is based on the Semantics Of Business Vocabulary And Rules standard. Moreover, the paper describes the Association-Oriented Metamodel as a case
Lipoprotein
发表于 2025-3-23 08:15:08
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