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)

Metaheuristic optimization of Levenberg-Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength. - Hai-Bang Ly; May Huu Nguyen; Binh Thai Pham (Neural Comput. Appl., 2021)

Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models. - Hai-Bang Ly; Binh Thai Pham; Lu Minh Le; Tien-Thinh Le 001; Vuong Minh Le; Panagiotis G. Asteris (Neural Comput. Appl., 2021)

Surrogate models for the compressive strength mapping of cement mortar materials. - Panagiotis G. Asteris; Liborio Cavaleri; Hai-Bang Ly; Binh Thai Pham (Soft Comput., 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)

A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient. - Binh Thai Pham; Hai-Bang Ly; Nadhir Al-Ansari; Lanh Si Ho (Sci. Program., 2021)

A comparative assessment of tree-based predictive models to estimate geopolymer concrete compressive strength. - May Huu Nguyen; Hai-Van Thi Mai; Son Hoang Trinh; Hai-Bang Ly (Neural Comput. Appl., 2023)

Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining. - Xiang Lu; Wei Zhou 034; Hai-Bang Ly; Chongchong Qi; Thuy-Anh Nguyen; May Huu Nguyen; Jiandong Huang; Binh Thai Pham (Appl. Soft Comput., 2023)