Feigned
发表于 2025-3-30 09:55:56
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TIA742
发表于 2025-3-30 15:41:51
https://doi.org/10.1057/978-1-349-96048-4t of smart public transportation, it has been evaluated that it is a system that provides information such as speed, route, location and arrival time for all vehicles used in public transportation in real time. It is an efficient, effective, innovative, dynamic, environmentalist, value-added and sus
MURKY
发表于 2025-3-30 20:31:54
A. Bankier,J. Brady,N. A. Myersusing a hidden units parameter of 128, dropout parameter of 0.3, and recurrent dropout parameter of 0.3. Results show that the attention mechanism can improve the performance of the LSTM model in performing aspect-based sentiment analysis.
反馈
发表于 2025-3-31 00:39:02
Of Books, Barns, and BoardroomsTE and without SMOTE with Stratified K-Fold CV algorithm. The highest performance accuracy with SMOTE is obtained at 90.7% with the SVM model. Whereas without SMOTE, the highest performance accuracy uses the SVM with a value of 87.8%. Furthermore, with the addition of the Stratified K-Fold CV algori
Irksome
发表于 2025-3-31 02:54:48
Emerging Trends in Intelligent Systems & Network Security
LAY
发表于 2025-3-31 05:16:37
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ostrish
发表于 2025-3-31 11:52:36
A Proposed Big Data Architecture Using Data Lakes for Education Systems,e management of the different data sources to their final consumption. The proposal approach includes data lake as a means of modernizing decision-making processes, in particular data warehouses and OLAP methods. It will be used as a means for data consolidation for the integration of heterogeneous
委屈
发表于 2025-3-31 14:29:40
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独轮车
发表于 2025-3-31 18:11:51
Aspect-Based Sentiment Analysis of Indonesian-Language Hotel Reviews Using Long Short-Term Memory wusing a hidden units parameter of 128, dropout parameter of 0.3, and recurrent dropout parameter of 0.3. Results show that the attention mechanism can improve the performance of the LSTM model in performing aspect-based sentiment analysis.
Parameter
发表于 2025-3-31 21:41:11
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