14 results on '"Vu, Huong-Lan Thi"'
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2. Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling with Relief algorithm
3. Application of Random Forest Model to Determine Unconfined Compressive Strength of the Soil-Cement Mixture
4. Optimizing the architecture of the artificial neural network by genetic algorithm to improve the predictability of pile bearing capacity based on CPT results
5. Application of Ensemble Learning Using Weight Voting Protocol in the Prediction of Pile Bearing Capacity
6. Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil
7. Application of Artificial Intelligence to Determined Unconfined Compressive Strength of Cement-Stabilized Soil in Vietnam
8. Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity
9. Erratum: Ly, H.-B., et al. Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams. Sustainability 2020, 12, 2709
10. Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams
11. Prediction of Pile Axial Bearing Capacity Using Artificial Neural Network and Random Forest
12. Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete
13. Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams
14. Erratum: Ly, H.-B., et al. Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams. Sustainability2020, 12, 2709.
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