FETID
发表于 2025-3-21 16:57:08
书目名称Intelligent Information and Database Systems影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0469745<br><br> <br><br>书目名称Intelligent Information and Database Systems读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0469745<br><br> <br><br>
营养
发表于 2025-3-21 22:19:35
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defile
发表于 2025-3-22 04:11:52
A Multi-attribute and Multi-valued Model for Fuzzy Ontology Integrationon Instance Leveluncertainty. In this paper we present an approach to fuzzification on the instance level of ontology using multi-value and multi-attribute structure. A consensus-based method for fuzzy ontology integration is proposed.
某人
发表于 2025-3-22 07:14:50
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积习已深
发表于 2025-3-22 09:01:07
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戏法
发表于 2025-3-22 16:37:22
Intelligent Information and Database Systems978-3-642-28487-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
patriot
发表于 2025-3-22 20:05:05
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NEX
发表于 2025-3-23 00:43:00
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enumaerate
发表于 2025-3-23 01:29:44
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SIT
发表于 2025-3-23 07:09:25
Detection of Facial Features on Color Face Imagesormation. Finally, this algorithm set the shape control points based on the Facial Animation Parameters in the MPEG-4 standard on the located facial features. Results of experiments to the face images show that the proposed approach is not only robust but also quit efficient.