CYNIC
发表于 2025-3-21 16:55:33
书目名称Data Science—Analytics and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0263145<br><br> <br><br>书目名称Data Science—Analytics and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0263145<br><br> <br><br>
脊椎动物
发表于 2025-3-21 22:50:42
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delta-waves
发表于 2025-3-22 01:07:53
S. E. Ramberg,C. L. Bartholomewion trajectories of individual tourists, weather and holidays. In the field of visitor flow prediction with sparse data, we are thereby capable of increasing the accuracy of our predictions, incorporating modern input feature handling as well as mapping geolocation data on top of discrete POI data.
invade
发表于 2025-3-22 07:47:01
W. G. Habashi,P. L. Kotiuga,L. A. McLeanparticular sentiment, through machine translation. This work shows that for two different architectures of transformer network-based translations, only minimal changes are detectable. This is proved with examples from different origin languages.
观察
发表于 2025-3-22 11:09:01
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eardrum
发表于 2025-3-22 16:53:18
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eardrum
发表于 2025-3-22 20:55:57
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COLIC
发表于 2025-3-23 01:02:52
Prediction of Tourism Flow with Sparse Geolocation Dataion trajectories of individual tourists, weather and holidays. In the field of visitor flow prediction with sparse data, we are thereby capable of increasing the accuracy of our predictions, incorporating modern input feature handling as well as mapping geolocation data on top of discrete POI data.
诱使
发表于 2025-3-23 05:26:05
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咯咯笑
发表于 2025-3-23 06:38:41
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