| Hybrid artificial intelligence approaches for predicting buckling damage of steel columns under axial compression LM Le, HB Ly, BT Pham, VM Le, TA Pham, DH Nguyen, XT Tran, TT Le Materials 12 (10), 1670, 2019 | 86 | 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 |
| Hybrid artificial intelligence approaches for predicting critical buckling load of structural members under compression considering the influence of initial geometric imperfections HB Ly, LM Le, HT Duong, TC Nguyen, TA Pham, TT Le, VM Le, ... Applied Sciences 9 (11), 2258, 2019 | 83 | 2019 |
| 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 |
| Development of artificial neural networks for prediction of compression coefficient of soft soil BT Pham, MD Nguyen, HB Ly, TA Pham, V Hoang, H Van Le, TT Le, ... CIGOS 2019, Innovation for Sustainable Infrastructure: Proceedings of the …, 2020 | 52 | 2020 |
| Application of artificial intelligence to determined unconfined compressive strength of cement-stabilized soil in vietnam HTT Ngo, TA Pham, HLT Vu, LV Giap Applied Sciences 11 (4), 1949, 2021 | 31 | 2021 |
| Developing random forest hybridization models for estimating the axial bearing capacity of pile TA Pham, VQ Tran Plos one 17 (3), e0265747, 2022 | 17 | 2022 |
| Evolution of deep neural network architecture using particle swarm optimization to improve the performance in determining the friction angle of soil TA Pham, VQ Tran, HLT Vu Mathematical Problems in Engineering 2021, 1-17, 2021 | 16 | 2021 |
| Application of ensemble learning using weight voting protocol in the prediction of pile bearing capacity TA Pham, HLT Vu Mathematical Problems in Engineering 2021, 1-14, 2021 | 11 | 2021 |
| Application of feedforward neural network and SPT results in the estimation of seismic soil liquefaction triggering TA Pham Computational Intelligence and Neuroscience 2021, 2021 | 9 | 2021 |
| Improving deep neural network using hyper-parameters tuning in predicting the bearing capacity of shallow foundations TA Pham, HLT Vu, HAT Duong Journal of Applied Science and Engineering 25 (2), 261-273, 2021 | 6 | 2021 |
| Geochemical modelling for prediction of chloride diffusion in concrete exposed to seawater HL Nguyen, VQ Tran, LK Nguyen, TA Pham, QT Ngo, VL Giap CIGOS 2019, Innovation for Sustainable Infrastructure: Proceedings of the …, 2019 | 2 | 2019 |
| Designing of concrete pavement expansion joints based on climate conditions of Vietnam HL Nguyen, CT Pham, DL Pham, TA Pham, DP Pham, BT Pham Journal of the Mechanical Behavior of Materials 28 (1), 62-67, 2019 | 2 | 2019 |
| Development of Deep Learning Neural Network for Estimating Pile Bearing Capacity TA Pham, DH Nguyen, HAT Duong CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure …, 2022 | 1 | 2022 |
| Optimizing construction progress by evolutionary algorithm considering multi-objective criteria TA Pham, DH Duong Journal of Science and Transport Technology 3 (1), 1-11, 2023 | | 2023 |
| Optimizing the architecture of the artificial neural network by genetic algorithm to improve the predictability of pile bearing capacity based on CPT results TA Pham, HLT Vu Journal of Science and Transport Technology 2 (1), 1-8, 2022 | | 2022 |
| Investigation of Input Number Effect on Performance Prediction of Soil Friction Angle Using Random Forest VQ Tran, TA Pham CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure …, 2022 | | 2022 |
| Application of Random Forest Model to Determine Unconfined Compressive Strength of the Soil-Cement Mixture L Van Giap, TA Pham, HLT Vu CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure …, 2022 | | 2022 |
