HAG 发表于 2025-3-21 18:14:12
书目名称Knowledge Science, Engineering and Management影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0544065<br><br> <br><br>书目名称Knowledge Science, Engineering and Management读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0544065<br><br> <br><br>凹槽 发表于 2025-3-21 22:07:57
TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTMfacilitating information classification and organization. However, the insufficient understanding of software objects and the lack of relevant knowledge among developers may lead to incorrect tags. Thus, the automatic tag recommendation technique has been proposed. However, tag explosion and tag synCanvas 发表于 2025-3-22 04:24:32
Application of Probabilistic Process Model for Smart Factory Systemsertainty, it is necessary to model predictability of the systems, based on the uncertainty. There have been several process algebras with probability, such as, PAROMA, PACSR, etc. However they are not well suitable for the smart systems, since they are based only on discrete model or exponential modaplomb 发表于 2025-3-22 04:38:23
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Dynamic Task-Specific Factors for Meta-Embeddingemantics. The supervised learning of task-specific meta-embedding is a convenient way to make use of accessible pre-trained word embeddings. However, the weights for different word embeddings are hard to calculate. We introduce the dynamic task-specific factors into meta-embedding (DTFME), which are拔出 发表于 2025-3-23 01:15:25
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