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Scientific Reports|February 8, 2025
Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniquesNang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, et al.
Materials (Basel, Switzerland)|April 3, 2019
Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer ConcreteDong Van Dao, Hai-Bang Ly, Son Hoang Trinh, et al.
Materials (Basel, Switzerland)|July 29, 2020
Cost-Effective Approaches Based on Machine Learning to Predict Dynamic Modulus of Warm Mix Asphalt with High Reclaimed Asphalt PavementDong Van Dao, Ngoc-Lan Nguyen, Hai-Bang Ly, et al.
Chemosphere|December 10, 2019
Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approachChongchong Qi, Hai-Bang Ly, Qiusong Chen, et al.
Materials (Basel, Switzerland)|March 4, 2020
Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed ConcreteDong Van Dao, Hai-Bang Ly, Huong-Lan Thi Vu, et al.
Materials (Basel, Switzerland)|May 15, 2019
Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision TreesHai-Bang Ly, Eric Monteiro, Tien-Thinh Le, et al.
Materials (Basel, Switzerland)|June 15, 2019
Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random MaterialsHai-Bang Ly, Christophe Desceliers, Lu Minh Le, et al.
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