Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data. - Hai-Bang Ly; Lu Minh Le; Luong Van Phi; Viet-Hung Phan; Van Quan Tran; Binh Thai Pham; Tien-Thinh Le 001; Sybil Derrible (Sensors, 2019)

On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams. - Thuy-Anh Nguyen; Hai-Bang Ly; Hai-Van Thi Mai; Van Quan Tran (Complex., 2021)

Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams. - Thuy-Anh Nguyen; Hai-Bang Ly; Van Quan Tran (Complex., 2021)

Using ANN to Estimate the Critical Buckling Load of Y Shaped Cross-Section Steel Columns. - Thuy-Anh Nguyen; Hai-Bang Ly; Hai-Van Thi Mai; Van Quan Tran (Sci. Program., 2021)

Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm. - Van Quan Tran (Complex., 2022)

Using machine learning technique for designing reinforced lightweight soil. - Van Quan Tran; Linh Quy Nguyen (J. Intell. Fuzzy Syst., 2022)

Using hybrid machine learning model including gradient boosting and Bayesian optimization for predicting compressive strength of concrete containing ground glass particles. - Van Quan Tran; Linh Quy Nguyen (J. Intell. Fuzzy Syst., 2022)

Investigation of ANN architecture for predicting residual strength of clay soil. - Van Quan Tran; Viet Quoc Dang; Hai Quan Do; Lanh Si Ho (Neural Comput. Appl., 2022)

Selection of single machine learning model for designing compressive strength of stabilized soil containing lime, cement and bitumen. - Van Quan Tran (J. Intell. Fuzzy Syst., 2023)

Machine learning-based model for predicting arrival time of container ships. - Manh Hung Nguyen; Hong Van Nguyen; Van Quan Tran (J. Intell. Fuzzy Syst., 2024)