بدائل البحث:
implementing cnn » implementing _ (توسيع البحث), implementing a (توسيع البحث), implementing low (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
pso algorithm » lasso algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
elements pso » elements ppm (توسيع البحث), elements upon (توسيع البحث), elements _ (توسيع البحث)
implementing cnn » implementing _ (توسيع البحث), implementing a (توسيع البحث), implementing low (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
pso algorithm » lasso algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
elements pso » elements ppm (توسيع البحث), elements upon (توسيع البحث), elements _ (توسيع البحث)
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Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"
منشور في 2024"…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…"
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CNN model evaluation.
منشور في 2025"…The application of the bagging XGBoost algorithm, which attained a high accuracy of 88%, further stamps its utility toward enhancement of academic performance through strong robust techniques of model aggregation. …"
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ROC curve CNN.
منشور في 2025"…The application of the bagging XGBoost algorithm, which attained a high accuracy of 88%, further stamps its utility toward enhancement of academic performance through strong robust techniques of model aggregation. …"
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Confusion matrix evaluation of CNN.
منشور في 2025"…The application of the bagging XGBoost algorithm, which attained a high accuracy of 88%, further stamps its utility toward enhancement of academic performance through strong robust techniques of model aggregation. …"
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CNN structure for feature extraction.
منشور في 2025"…By employing contrast-limited adaptive histogram equalization (CLAHE), contrast-enhanced images were generated with minimal noise and prominent distinctive features. Subsequently, a CNN-SVD-Ensemble model was implemented to extract important features and reduce dimensionality. …"
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