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)
mesh algorithm » best algorithm (توسيع البحث), mean algorithm (توسيع البحث), means algorithm (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
element mesh » element method (توسيع البحث), elements mges (توسيع البحث), element te (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)
mesh algorithm » best algorithm (توسيع البحث), mean algorithm (توسيع البحث), means algorithm (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
element mesh » element method (توسيع البحث), elements mges (توسيع البحث), element te (توسيع البحث)
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Multi-material topology optimization using scaled boundary finite element method
منشور في 2025"…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …"
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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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