| On random subspace optimization-based hybrid computing models predicting the california bearing ratio of soils DK Trong, BT Pham, FE Jalal, M Iqbal, PC Roussis, A Mamou, ... Materials 14 (21), 6516, 2021 | 31 | 2021 |
| Bagging and multilayer perceptron hybrid intelligence models predicting the swelling potential of soil DD Nguyen, PC Roussis, BT Pham, M Ferentinou, A Mamou, DQ Vu, ... Transportation Geotechnics 36, 100797, 2022 | 23 | 2022 |
| Estimation of California bearing ratio of soils using random forest based machine learning DQ Vu, DD Nguyen, QAT Bui, DK Trong, I Prakash, BT Pham Journal of Science and Transport Technology, 45-58, 2021 | 11 | 2021 |
| Using GA-ANFIS machine learning model for forecasting the load bearing capacity of driven piles DD Nguyen, HP Nguyen, DQ Vu, I Prakash, BT Pham Journal of Science and Transport Technology 3 (2), 26-33, 2023 | 3 | 2023 |
| Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system LH Nguyen, DQ Vu, DD Nguyen, FE Jalal, M Iqbal, VT Dang, HV Le, ... Frontiers of structural and civil engineering 17 (5), 812-826, 2023 | 2 | 2023 |
| Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test DQ Vu, FE Jalal, M Iqbal, DD Nguyen, DK Trong, I Prakash, BT Pham Frontiers of Structural and Civil Engineering 16 (8), 1003-1016, 2022 | 2 | 2022 |
| Investigation of Support Vector Machines with Different Kernel Functions for Prediction of Compressive Strength of Concrete S Pal, VT Hieu, DD Nguyen, DQ Vu, I Prakash Journal of Science and Transport Technology, 55-68, 2024 | | 2024 |
Indra PrakashGeological Survey of India, Dy.DG(R), Collaborative Researcher在 bisag.gujarat.gov.in 的电子邮件经过验证
