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)
elements based » experiments based (توسيع البحث), elements related (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (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)
elements based » experiments based (توسيع البحث), elements related (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
-
10
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>…"
-
11
-
12
-
13
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. …"
-
14
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. …"
-
15
-
16
-
17
-
18
-
19
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. …"
-
20