| A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods K Khosravi, H Shahabi, BT Pham, J Adamawoski, A Shirzadi, B Pradhan, ... Journal of Hydrology 573, 311-323, 2019 | 495 | 2019 |
| 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 | 379 | 2021 |
| Artificial intelligence approaches for prediction of compressive strength of geopolymer concrete DV Dao, HB Ly, SH Trinh, TT Le, BT Pham Materials 12 (6), 983, 2019 | 264 | 2019 |
| A spatially explicit deep learning neural network model for the prediction of landslide susceptibility D Van Dao, A Jaafari, M Bayat, D Mafi-Gholami, C Qi, H Moayedi, ... Catena 188, 104451, 2020 | 258 | 2020 |
| Development of advanced artificial intelligence models for daily rainfall prediction BT Pham, LM Le, TT Le, KTT Bui, VM Le, HB Ly, I Prakash Atmospheric Research 237, 104845, 2020 | 177 | 2020 |
| A sensitivity and robustness analysis of GPR and ANN for high-performance concrete compressive strength prediction using a Monte Carlo simulation DV Dao, H Adeli, HB Ly, LM Le, VM Le, TT Le, BT Pham Sustainability 12 (3), 830, 2020 | 166 | 2020 |
| Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis BT Pham, MD Nguyen, D Van Dao, I Prakash, HB Ly, TT Le, LS Ho, ... Science of The Total Environment 679, 172-184, 2019 | 145 | 2019 |
| Prediction of compressive strength of geopolymer concrete using entirely steel slag aggregates: Novel hybrid artificial intelligence approaches DV Dao, SH Trinh, HB Ly, BT Pham Applied Sciences 9 (6), 1113, 2019 | 144 | 2019 |
| Development of deep neural network model to predict the compressive strength of rubber concrete HB Ly, TA Nguyen, THV Mai, VQ Tran Construction and Building Materials 301, 124081, 2021 | 113 | 2021 |
| A comparative study of kernel logistic regression, radial basis function classifier, multinomial naïve bayes, and logistic model tree for flash flood susceptibility mapping BT Pham, TV Phong, HD Nguyen, C Qi, N Al-Ansari, A Amini, LS Ho, ... Water 12 (1), 239, 2020 | 103 | 2020 |
| 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 | 100 | 2020 |
| A novel hybrid soft computing model using random forest and particle swarm optimization for estimation of undrained shear strength of soil BT Pham, C Qi, LS Ho, T Nguyen-Thoi, N Al-Ansari, MD Nguyen, ... Sustainability 12 (6), 2218, 2020 | 96 | 2020 |
| Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers BT Pham, TV Phong, T Nguyen-Thoi, K Parial, S K. Singh, HB Ly, ... Geocarto International 37 (3), 735-757, 2022 | 94 | 2022 |
| Landslide susceptibility modeling using different artificial intelligence methods: A case study at Muong Lay district, Vietnam TV Phong, TT Phan, I Prakash, SK Singh, A Shirzadi, K Chapi, HB Ly, ... Geocarto International 36 (15), 1685-1708, 2021 | 88 | 2021 |
| Improvement of ANFIS model for prediction of compressive strength of manufactured sand concrete HB Ly, BT Pham, DV Dao, VM Le, LM Le, TT Le Applied Sciences 9 (18), 3841, 2019 | 88 | 2019 |
| 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 | 87 | 2019 |
| Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models HB Ly, BT Pham, LM Le, TT Le, VM Le, PG Asteris Neural Computing and Applications 33, 3437-3458, 2021 | 86 | 2021 |
| 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 | 85 | 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 | 83 | 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 | 82 | 2019 |
Van Quan TRANUniversity of Transport technologyVerified email at utt.edu.vn
