Considerate
发表于 2025-3-21 20:08:53
书目名称Recent Challenges in Intelligent Information and Database Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0823091<br><br> <br><br>书目名称Recent Challenges in Intelligent Information and Database Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0823091<br><br> <br><br>
SLAY
发表于 2025-3-21 21:36:54
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我吃花盘旋
发表于 2025-3-22 04:00:34
978-981-19-8233-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
PAGAN
发表于 2025-3-22 05:13:12
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拉开这车床
发表于 2025-3-22 10:54:19
,Machine Learning-Based Recommender System for Tweeting Factory in Industry 5.0 Paradigm,asic concepts are discussed. It is indicated how the proposed solution fulfills the requirements concerning Industry 5.0 paradigm. The system also utilizes the idea of the Tweeting Factory [.] paradigm, making it easy to apply in various industry branches.
改正
发表于 2025-3-22 15:23:36
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olfction
发表于 2025-3-22 18:30:44
,Exploring the Effect of Vehicle Appearance and Motion for Natural Language-Based Vehicle Retrieval,iency of each contribution in the overall framework. It confirms that not only appearance but additional motion cues are promising for vehicle retrieval, which provides the results of MRR, Rank@5 and Rank@10 are 0.2333, 0.3587 and 0.4837, respectively.
Extricate
发表于 2025-3-22 22:15:32
,Explaining Predictive Scheduling in Cloud,n terms of computation. This paper first predicts resource usage in terms of CPU by applying the lightGBM model to a real dataset. Furthermore, using the explanations of SHapley Additive exPlanations (SHAP) in combination with the K-Nearest Neighbor (KNN) to interpolate missing values in the dataset
冷漠
发表于 2025-3-23 01:46:35
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Subjugate
发表于 2025-3-23 07:11:07
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