Titlebook: Enterprise Information Systems; 25th International C Joaquim Filipe,Michał Śmiałek,Slimane Hammoudi Conference proceedings 2024 The Editor(

谴责

书目名称Enterprise Information Systems影响因子(影响力)




书目名称Enterprise Information Systems影响因子(影响力)学科排名




书目名称Enterprise Information Systems网络公开度




书目名称Enterprise Information Systems网络公开度学科排名




书目名称Enterprise Information Systems被引频次




书目名称Enterprise Information Systems被引频次学科排名




书目名称Enterprise Information Systems年度引用




书目名称Enterprise Information Systems年度引用学科排名




书目名称Enterprise Information Systems读者反馈




书目名称Enterprise Information Systems读者反馈学科排名

厌食症

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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闷热

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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