fibrous-plaque
发表于 2025-3-21 17:17:03
书目名称Advances in Computational Intelligence影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0167228<br><br> <br><br>书目名称Advances in Computational Intelligence读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0167228<br><br> <br><br>
BLANC
发表于 2025-3-21 23:40:47
Advances in Computational Intelligence978-3-031-75540-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
Noctambulant
发表于 2025-3-22 03:07:16
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离开就切除
发表于 2025-3-22 07:17:05
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腐败
发表于 2025-3-22 09:11:51
Price Estimation for Pre-owned Vehicles Using Machine LearningThis article presents the initial analysis of pre-owned car pricing using machine learning techniques. We explore three approaches: classic linear regression, tree boosting, and quantile regression algorithms. The scope of the article includes comparing these models and understanding the underlying data structure.
Climate
发表于 2025-3-22 15:35:45
Analysis of Predictive Factors in University Dropout Rates Using Data Science TechniquesThis study uses advanced data science techniques to explore the variables that influence university dropout rates. Through predictive models and the integration of demographic, socioeconomic, and academic data, key factors are identified and risk estimates are provided, with the goal of guiding interventions to improve student retention.
Paradox
发表于 2025-3-22 17:42:56
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神圣不可
发表于 2025-3-23 00:22:08
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可能性
发表于 2025-3-23 04:02:02
https://doi.org/10.1007/978-3-658-41918-9nt. Outdoor landscaping typically represents 40–70% of total water household consumption in some semi-arid areas; thus, outdoor water use is a significant factor that contributes to urban water sustainability..Evapotranspiration (ET) indicates the water and energy exchange between the atmosphere and
上流社会
发表于 2025-3-23 08:09:28
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