BULK
发表于 2025-3-21 17:02:17
书目名称Machine Learning and Data Mining Approaches to Climate Science影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620445<br><br> <br><br>书目名称Machine Learning and Data Mining Approaches to Climate Science读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620445<br><br> <br><br>
DEMN
发表于 2025-3-21 22:25:37
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addition
发表于 2025-3-22 02:48:41
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Stable-Angina
发表于 2025-3-22 05:39:00
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murmur
发表于 2025-3-22 11:19:12
Multilevel Random Slope Approach and Nonparametric Inference for River Temperature, Under Haphazard mates. We address these concerns using multilevel random slope models and nonparametric bootstrap inference for assessing the statistical significance of the annual trend in river temperature when measurement times and dates are haphazard.
友好
发表于 2025-3-22 14:43:08
Teleconnections in Climate Networks: A Network-of-Networks Approach to Investigate the Influence of d as two separate climate networks, and teleconnections within the individual climate networks are studied with special focus on dipolar patterns. Our analysis reveals a pronounced rainfall dipole between Southeast Asia and the Afghanistan-Pakistan region, and we discuss the influences of Pacific SST anomalies on this dipole.
Gustatory
发表于 2025-3-22 19:33:42
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少量
发表于 2025-3-22 23:28:14
Predicting Crop Yield via Partial Linear Model with Bootstrapence of orthonormal basis functions of the appropriate function space. We use different bootstrap schemes to produce prediction bounds and error estimates for the model, since the noise terms appear to be heteroscedastic and non-normal in the data. Results are presented and caveats and extensions to the model are also discussed.
Facilities
发表于 2025-3-23 04:05:18
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不安
发表于 2025-3-23 06:37:44
Evaluation of Global Climate Models Based on Global Impacts of ENSOsed this criteria to evaluate the Coupled Model Intercomparison Project (CMIP5) GCMs. We found that the global impact of ENSO in CNRM-CM5, GFDL-CM3, and CESM-FASTCHEM is highly similar to that of observations.