بدائل البحث:
complement forest » complement past (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
element » elements (توسيع البحث)
complement forest » complement past (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
element » elements (توسيع البحث)
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461
The models’ training parameters.
منشور في 2025"…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…"
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462
Association point and relationship.
منشور في 2025"…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…"
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463
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464
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465
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466
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467
The patient selection procedure.
منشور في 2025"…Eight machine learning algorithms, namely logistic regression (LR), extreme gradient boosting (XGBoost), random forest (RF), decision tree classifier (DT), complement naive bayes (CNB), multilayer perceptron (MLP), support vector machine (SVM), and K-Nearest neighbors (KNN), were employed to construct predictive models. …"
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468
Overall framework design.
منشور في 2025"…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …"
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469
Gamma distribution of reuse.
منشور في 2025"…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …"
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470
Top 5 correlated features based on reuse.
منشور في 2025"…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …"
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471
Features with the top importance score.
منشور في 2025"…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …"
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472
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473
<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …"
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474
S1 Graphical abstract -
منشور في 2025"…The software uses a shape-detection algorithm to single out and track the movement of pillars’ tips for the most common shapes of EHT platforms. …"
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475
The architecture of the SE-multi-input CNN model.
منشور في 2025"…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …"
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476
Confusion matrix for the Multi-input CNN model.
منشور في 2025"…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …"
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477
Confusion matrices for single-input CNN models.
منشور في 2025"…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …"
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478
Confusion matrix for the Multi-input CNN model.
منشور في 2025"…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …"
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479
Steps to the final sample.
منشور في 2025"…<div><p>One major obstacle to advancing research and treatment for major psychiatric disorders is their substantial within-diagnosis heterogeneity in patient lifetime trajectories. Adapted research methods such as cluster analysis to define subgroups of patients are currently used. …"
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480