بدائل البحث:
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
less decrease » mean decrease (توسيع البحث), levels decreased (توسيع البحث), largest decrease (توسيع البحث)
teer decrease » mean decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
less decrease » mean decrease (توسيع البحث), levels decreased (توسيع البحث), largest decrease (توسيع البحث)
teer decrease » mean decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
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141
Variation of creep strain rate of rock samples with the number of freeze-thaw cycles.
منشور في 2025الموضوعات: -
142
S1 File -
منشور في 2025"…<div><p>The impact of islet neuronal nitric oxide synthase (nNOS) on glucose-stimulated insulin secretion (GSIS) is less understood. We investigated this issue by performing simultaneous measurements of the activity of nNOS <i>versus</i> inducible NOS (iNOS) in GSIS using isolated murine islets. …"
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156
Medicare clozapine data analysis.
منشور في 2025"…We observed a steady decrease in clozapine use adjusted for population (−18.0%) and spending (−24.9%) over time. …"
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157
Major hyperparameters of RF-SVR.
منشور في 2024"…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …"
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158
Pseudo code for coupling model execution process.
منشور في 2024"…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …"
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159
Major hyperparameters of RF-MLPR.
منشور في 2024"…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …"
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160
Results of RF algorithm screening factors.
منشور في 2024"…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …"