Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength HB Ly, MH Nguyen, BT Pham Neural Computing and Applications 33 (24), 17331-17351, 2021 | 70 | 2021 |
Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis MH Nguyen, HB Ly Construction and Building Materials 367, 130339, 2023 | 32 | 2023 |
Incorporating industrial by-products into cement-free binders: Effects on water absorption, porosity, and chloride penetration MH Nguyen, NV Tuan, TP Huynh, CL Hwang Construction and Building Materials 304, 124675, 2021 | 32 | 2021 |
Durability index for quality classification of cover concrete based on water intentional spraying tests MH Nguyen, K Nakarai, S Nishio Cement and Concrete Composites 104, 103355, 2019 | 27 | 2019 |
Validation of simple nondestructive method for evaluation of cover concrete quality MH Nguyen, K Nakarai, Y Kubori, S Nishio Construction and Building Materials 201, 430-438, 2019 | 21 | 2019 |
Toward improved prediction of recycled brick aggregate concrete compressive strength by designing ensemble machine learning models MH Nguyen, SH Trinh, HB Ly Construction and Building Materials 369, 130613, 2023 | 20 | 2023 |
Artificial intelligence-based model for the prediction of dynamic modulus of stone mastic asphalt TH Le, HL Nguyen, BT Pham, MH Nguyen, CT Pham, NL Nguyen, TT Le, ... Applied Sciences 10 (15), 5242, 2020 | 20 | 2020 |
Early evaluation of cover concrete quality utilizing water intentional spray tests MH Nguyen, K Nakarai, Y Kai, S Nishio Construction and Building Materials 231, 117144, 2020 | 20 | 2020 |
Machine learning approach in investigating carbonation depth of concrete containing Fly ash VQ Tran, HVT Mai, QT To, MH Nguyen Structural Concrete 24 (2), 2145-2169, 2023 | 14 | 2023 |
A comparative assessment of tree-based predictive models to estimate geopolymer concrete compressive strength MH Nguyen, HVT Mai, SH Trinh, HB Ly Neural Computing and Applications 35 (9), 6569-6588, 2023 | 12 | 2023 |
Service life prediction of steam-cured concrete utilizing in-situ air permeability measurements MH Nguyen, K Nakarai, R Torrent Cement and Concrete Composites 114, 103747, 2020 | 12 | 2020 |
Effect of surface moisture on air-permeability kT and its correction V Bueno, K Nakarai, MH Nguyen, RJ Torrent, I Ujike Materials and Structures 54, 1-12, 2021 | 10 | 2021 |
Effect of temperature on nondestructive measurements for air permeability and water sorptivity of cover concrete MH Nguyen, S Nishio, K Nakarai Construction and Building Materials 334, 127361, 2022 | 9 | 2022 |
Recycling of waste incineration bottom ash in the production of interlocking concrete bricks NH May, HT Phuoc, N Van Anh, CM Khai, L Nong Journal of Science and Technology in Civil Engineering (JSTCE)-HUCE 15 (2 …, 2021 | 8 | 2021 |
Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete HVT Mai, MH Nguyen, SH Trinh, HB Ly Frontiers of Structural and Civil Engineering 17 (2), 284-305, 2023 | 6 | 2023 |
Novel ensemble approach to predict the ultimate axial load of CFST columns with different cross-sections TA Nguyen, SH Trinh, MH Nguyen, HB Ly Structures 47, 1-14, 2023 | 6 | 2023 |
A hybrid machine learning model to estimate self-compacting concrete compressive strength HB Ly, TA Nguyen, BT Pham, MH Nguyen Frontiers of Structural and Civil Engineering 16 (8), 990-1002, 2022 | 6 | 2022 |
Turning incinerator waste fly ash into interlocking concrete bricks for sustainable development MH Nguyen, TP Huynh Construction and Building Materials 321, 126385, 2022 | 6 | 2022 |
Concrete carbonation prediction based on air-permeability tests with moisture compensation MH Nguyen, K Nakarai, RJ Torrent, V Bueno Materials and Structures 56 (1), 3, 2023 | 5 | 2023 |
Ensemble XGBoost schemes for improved compressive strength prediction of UHPC MH Nguyen, TA Nguyen, HB Ly Structures 57, 105062, 2023 | 4 | 2023 |