| Influence of data splitting on performance of machine learning models in prediction of shear strength of soil QH Nguyen, HB Ly, LS Ho, N Al-Ansari, HV Le, VQ Tran, I Prakash, ... Mathematical Problems in Engineering 2021, 1-15, 2021 | 389 | 2021 |
| Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach VQ Tran, VQ Dang, LS Ho Construction and Building Materials 323, 126578, 2022 | 138 | 2022 |
| Development of deep neural network model to predict the compressive strength of rubber concrete HB Ly, TA Nguyen, VQ Tran Construction and Building Materials 301, 124081, 2021 | 116 | 2021 |
| Optimization of artificial intelligence system by evolutionary algorithm for prediction of axial capacity of rectangular concrete filled steel tubes under compression HQ Nguyen, HB Ly, VQ Tran, TA Nguyen, TT Le, BT Pham Materials 13 (5), 1205, 2020 | 98 | 2020 |
| Development of an AI model to measure traffic air pollution from multisensor and weather data HB Ly, LM Le, LV Phi, VH Phan, VQ Tran, BT Pham, TT Le, S Derrible Sensors 19 (22), 4941, 2019 | 88 | 2019 |
| Prediction of pile axial bearing capacity using artificial neural network and random forest TA Pham, HB Ly, VQ Tran, LV Giap, HLT Vu, HAT Duong Applied Sciences 10 (5), 1871, 2020 | 84 | 2020 |
| Computational hybrid machine learning based prediction of shear capacity for steel fiber reinforced concrete beams HB Ly, TT Le, HLT Vu, VQ Tran, LM Le, BT Pham Sustainability 12 (7), 2709, 2020 | 73 | 2020 |
| Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity TA Pham, VQ Tran, HLT Vu, HB Ly PLoS One 15 (12), e0243030, 2020 | 63 | 2020 |
| Modelisation of chloride reactive transport in concrete including thermodynamic equilibrium, kinetic control and surface complexation VQ Tran, A Soive, V Baroghel-Bouny Cement and Concrete Research 110, 70-85, 2018 | 63 | 2018 |
| Development of hybrid machine learning models for predicting the critical buckling load of I-shaped cellular beams HB Ly, TT Le, LM Le, VQ Tran, VM Le, HLT Vu, QH Nguyen, BT Pham Applied Sciences 9 (24), 5458, 2019 | 52 | 2019 |
| Using machine learning techniques for predicting autogenous shrinkage of concrete incorporating superabsorbent polymers and supplementary cementitious materials B Hilloulin, VQ Tran Journal of Building Engineering 49, 104086, 2022 | 51 | 2022 |
| Extreme learning machine based prediction of soil shear strength: a sensitivity analysis using Monte Carlo simulations and feature backward elimination BT Pham, T Nguyen-Thoi, HB Ly, MD Nguyen, N Al-Ansari, VQ Tran, ... Sustainability 12 (6), 2339, 2020 | 51 | 2020 |
| Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials VQ Tran Construction and Building Materials 328, 127103, 2022 | 50 | 2022 |
| Prediction compressive strength of concrete containing GGBFS using random forest model HVT Mai, TA Nguyen, HB Ly, VQ Tran Advances in Civil Engineering 2021, 1-12, 2021 | 49 | 2021 |
| A novel hybrid model based on a feedforward neural network and one step secant algorithm for prediction of load-bearing capacity of rectangular concrete-filled steel tube columns QH Nguyen, HB Ly, VQ Tran, TA Nguyen, VH Phan, TT Le, BT Pham Molecules 25 (15), 3486, 2020 | 47 | 2020 |
| A numerical model including thermodynamic equilibrium, kinetic control and surface complexation in order to explain cation type effect on chloride binding capability of concrete VQ Tran, A Soive, S Bonnet, A Khelidj Construction and Building Materials 191, 608-618, 2018 | 41 | 2018 |
| External sulfate attack of cementitious materials: New insights gained through numerical modeling including dissolution/precipitation kinetics and surface complexation A Soive, VQ Tran Cement and Concrete Composites 83, 263-272, 2017 | 36 | 2017 |
| Requirements and possible simplifications for multi-ionic transport models–Case of concrete subjected to wetting-drying cycles in marine environment A Soive, VQ Tran, V Baroghel-Bouny Construction and Building Materials 164, 799-808, 2018 | 33 | 2018 |
| Investigation of ann model containing one hidden layer for predicting compressive strength of concrete with blast-furnace slag and fly ash HVT Mai, TA Nguyen, HB Ly, VQ Tran Advances in Materials Science and Engineering 2021, 1-17, 2021 | 32 | 2021 |
| Hybrid gradient boosting with meta-heuristic algorithms prediction of unconfined compressive strength of stabilized soil based on initial soil properties, mix design and … VQ Tran Journal of Cleaner Production 355, 131683, 2022 | 31 | 2022 |
