Titlebook: Enterprise Information Systems; 25th International C Joaquim Filipe,Micha? ?mia?ek,Slimane Hammoudi Conference proceedings 2024 The Editor(

譴責

書目名稱Enterprise Information Systems影響因子(影響力)




書目名稱Enterprise Information Systems影響因子(影響力)學科排名




書目名稱Enterprise Information Systems網絡公開度




書目名稱Enterprise Information Systems網絡公開度學科排名




書目名稱Enterprise Information Systems被引頻次




書目名稱Enterprise Information Systems被引頻次學科排名




書目名稱Enterprise Information Systems年度引用




書目名稱Enterprise Information Systems年度引用學科排名




書目名稱Enterprise Information Systems讀者反饋




書目名稱Enterprise Information Systems讀者反饋學科排名

厭食癥

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

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

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

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悶熱

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

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.

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