بدائل البحث:
significant validation » significant variation (توسيع البحث), significant variations (توسيع البحث), significant application (توسيع البحث)
validation loss » validation sets (توسيع البحث), validation process (توسيع البحث), validation group (توسيع البحث)
mean decrease » a decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
significant validation » significant variation (توسيع البحث), significant variations (توسيع البحث), significant application (توسيع البحث)
validation loss » validation sets (توسيع البحث), validation process (توسيع البحث), validation group (توسيع البحث)
mean decrease » a decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
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Does Mean Platelet Volume Decrease in the presence of Coronary Artery Fistula?
منشور في 2019"…Several studies have shown the association between mean platelet volume (MPV) and cardiovascular diseases. …"
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Mean platelet volume and neutrophil to lymphocyte ratio decrease in patients with depression with antidepressant treatment
منشور في 2022"…Discussion MPV of depressed patients was higher than controls. When we look at admission and discharge scores of clinical scales, decrement is statistically significant for both HAM-D and CGI-S. …"
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The training and validation loss of the ten-block CNN (i.e., Phase 1) with each training epoch.
منشور في 2022الموضوعات: -
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Image_1_Decrease in Serum Urate Level Is Associated With Loss of Visceral Fat in Male Gout Patients.tif
منشور في 2021"…By multiple regression model, ΔSU was identified to be a significant determinant variable of decrease in VFA (beta, 0.302; p = 0.001).…"
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DataSheet_1_Decrease in Serum Urate Level Is Associated With Loss of Visceral Fat in Male Gout Patients.docx
منشور في 2021"…By multiple regression model, ΔSU was identified to be a significant determinant variable of decrease in VFA (beta, 0.302; p = 0.001).…"
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Training loss and validation loss.
منشور في 2025"…Additionally, the WIPIoU loss function is developed to calculate IoU using auxiliary boundaries and address low-quality data, improving small-target recognition and accelerating convergence. …"
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Training and validation loss.
منشور في 2025"…The models were trained and validated using 10-fold cross-validation. XGBoost was trained with up to 300 boosting rounds, and performance was evaluated using accuracy, precision, recall, F1-score, ROC-AUC, and log loss. …"