Efficient sampling schemes for Bayesian MARS models with many predictors. - David J. Nott; Anthony Y. C. Kuk; Hiep Duc (Stat. Comput., 2005)

A metamodel for background ozone level using radial basis function neural networks. - Herman Bin Wahid; Quang Phuc Ha; Hiep Nguyen-Duc (ICARCV, 2010)

Adaptive Neural Network Metamodel for Short-Term Prediction of Background Ozone Level. - Herman Bin Wahid; Quang Phuc Ha; Hiep Nguyen-Duc (RIVF, 2010)

Neural network-based meta-modelling approach for estimating spatial distribution of air pollutant levels. - Herman Bin Wahid; Quang Phuc Ha; Hiep Duc; Merched Azzi (Appl. Soft Comput., 2013)

Enhanced radial basis function neural networks for ozone level estimation. - Quang Phuc Ha; Herman Bin Wahid; Hiep Duc; Merched Azzi (Neurocomputing, 2015)

Inverse Air-Pollutant Emission and Prediction Using Extended Fractional Kalman Filtering. - Santanu Metia; Seth Daniel Oduro; Hiep Nguyen-Duc; Quang Phuc Ha (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Estimation of Power Plant Emissions With Unscented Kalman Filter. - Santanu Metia; Quang Phuc Ha; Hiep Nguyen-Duc; Merched Azzi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Long Short-Term Memory Bayesian Neural Network for Air Pollution Forecast. - Huynh Anh Duy Nguyen; Quang Phuc Ha; Hiep Duc; Merched Azzi; Ningbo Jiang; Xavier Barthélémy; Matthew Riley (IEEE Access, 2023)

Visualization Platform for Multi-Scale Air Pollution Monitoring and Forecast. - Trung H. Le; Huynh Anh Duy Nguyen; Xavier Barthélémy; Tien T. Nguyen; Quang Phuc Ha; Ningbo Jiang; Hiep Duc; Merched Azzi; Matthew Riley (SII, 2024)

A Deep-Learning-Based Visualization Tool for Air Pollution Forecasting. - Huynh Anh Duy Nguyen; Hoang-Trung Le; Xavier Barthélémy; Merched Azzi; Hiep Duc; Ningbo Jiang; Matthew Riley; Quang Phuc Ha (IEEE Softw., 2025)