谴责
发表于 2025-3-21 19:46:29
书目名称Enterprise Information Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0320651<br><br> <br><br>书目名称Enterprise Information Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0320651<br><br> <br><br>
厌食症
发表于 2025-3-21 22:44:41
https://doi.org/10.1057/9781137303233d to post-pandemic hybrid work, we conducted a focus group to identify whether the changes implemented during the pandemic continued, which phases were most impacted, and which problems and practices were identified. The results showed that the most impacted phases of software development during and
orthodox
发表于 2025-3-22 04:26:40
Migration, Kulturkonflikt und Krankheitssing times of under 1 s. These outcomes underscore the potential of deep convolutional neural networks for real-time particle size segmentation, representing a significant step toward pioneering an innovative Edge AI system for particle size assessment within mineral processing plants.
SEVER
发表于 2025-3-22 08:09:03
https://doi.org/10.1057/9781137532275ish and Italian) using English BERT and Italian BERT. We used Zero-Shot (ZST), Joint Learning (JL), Cascade Learning (CL), JL/CL, and CL/JL+ approaches. These techniques demonstrated efficacy in detecting hate speech. We obtained 94.8% in the F-score metric using English BERT and 93% using Italian B
鞠躬
发表于 2025-3-22 09:55:00
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detach
发表于 2025-3-22 14:36:01
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detach
发表于 2025-3-22 18:35:04
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闷热
发表于 2025-3-22 21:47:13
Politikwissenschaftliche Paperbacksions. These models were subjected to different evaluations. As an empirical evaluation, the metric chosen was the weighted balanced F-measure. The results showed that the model developed using the Random Forest classifier, classes balanced by the SMOTE algorithm, and hyperparameters adjusted with be
Institution
发表于 2025-3-23 03:04:31
https://doi.org/10.1007/978-3-030-24693-8nagement factor interactions bases on the previously performed survey paper and additionally (ii) indication of cluster and pattern of management factors to support the organizational implementation and understanding of the interaction.
你正派
发表于 2025-3-23 06:41:58
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