Machine learning in concrete strength simulations: Multi-nation data analytics JS Chou, CF Tsai, AD Pham, YH Lu Construction and Building materials 73, 771-780, 2014 | 416 | 2014 |
Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength JS Chou, AD Pham Construction and Building Materials 49, 554-563, 2013 | 330 | 2013 |
Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability AD Pham, NT Ngo, TTH Truong, NT Huynh, NS Truong Journal of Cleaner Production 260, 121082, 2020 | 275 | 2020 |
Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification JS Chou, MY Cheng, YW Wu, AD Pham Expert Systems with Applications 41 (8), 3955-3964, 2014 | 141 | 2014 |
Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation JS Chou, AD Pham, H Wang Automation in Construction 35, 517-527, 2013 | 140 | 2013 |
Smart Artificial Firefly Colony Algorithm‐Based Support Vector Regression for Enhanced Forecasting in Civil Engineering JS Chou, AD Pham Computer‐Aided Civil and Infrastructure Engineering, 2015 | 133 | 2015 |
Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis ND Hoang, AD Pham Expert Systems with Applications 46, 60-68, 2016 | 128 | 2016 |
Predicting compressive strength of high-performance concrete using metaheuristic-optimized least squares support vector regression AD Pham, ND Hoang, QT Nguyen Journal of Computing in Civil Engineering 30 (3), 06015002, 2016 | 126 | 2016 |
Estimating compressive strength of high performance concrete with Gaussian process regression model ND Hoang, AD Pham, QL Nguyen, QN Pham Advances in civil engineering 2016 (1), 2861380, 2016 | 124 | 2016 |
Shear strength prediction in reinforced concrete deep beams using nature-inspired metaheuristic support vector regression JS Chou, NT Ngo, AD Pham Journal of Computing in Civil Engineering 30 (1), 04015002, 2016 | 113 | 2016 |
Optimized artificial intelligence models for predicting project award price JS Chou, CW Lin, AD Pham, JY Shao Automation in construction 54, 106-115, 2015 | 113 | 2015 |
Project management knowledge of construction professionals: Cross-country study of effects on project success JS Chou, N Irawan, AD Pham Journal of construction engineering and management 139 (11), 04013015, 2013 | 99 | 2013 |
Nature-inspired metaheuristic optimization in least squares support vector regression for obtaining bridge scour information JS Chou, AD Pham Information Sciences 399, 64-80, 2017 | 79 | 2017 |
Opposition multiple objective symbiotic organisms search (OMOSOS) for time, cost, quality and work continuity tradeoff in repetitive projects DH Tran, L Luong-Duc, MT Duong, TN Le, AD Pham Journal of Computational Design and Engineering 5 (2), 160-172, 2018 | 64 | 2018 |
Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models JS Chou, TPT Pham, TK Nguyen, AD Pham, NT Ngo Soft Computing 24 (5), 3393-3411, 2020 | 52 | 2020 |
Hybrid machine learning for predicting strength of sustainable concrete AD Pham, NT Ngo, QT Nguyen, NS Truong Soft Computing 24 (19), 14965-14980, 2020 | 48 | 2020 |
Estimating concrete workability based on slump test with least squares support vector regression ND Hoang, AD Pham Journal of construction engineering 2016 (1), 5089683, 2016 | 46 | 2016 |
Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings NT Ngo, TTH Truong, NS Truong, AD Pham, NT Huynh, TM Pham, ... Scientific Reports 12, 1065 (2022), 2022 | 43 | 2022 |
Hybrid computational model for predicting bridge scour depth near piers and abutments JS Chou, AD Pham Automation in Construction 48, 88-96, 2014 | 37 | 2014 |
An Ensemble Machine Learning Model for Enhancing the Prediction Accuracy of Energy Consumption in Buildings NT Ngo, AD Pham, NS Truong, TTH Truong, NT Huynh, TM Pham Arabian Journal for Science and Engineering, 2021 | 31 | 2021 |