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Anh-Duc Pham
Anh-Duc Pham
The University of Da-nang - University of Science and Technology
Adresse e-mail validée de dut.udn.vn - Page d'accueil
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Année
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
4552014
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
3542013
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
3202020
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
1462013
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
1452014
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
1402016
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
1382015
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
1352016
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
1332016
Optimized artificial intelligence models for predicting project award price
JS Chou, CW Lin, AD Pham, JY Shao
Automation in construction 54, 106-115, 2015
1222015
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
1182016
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
1012013
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
822017
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
662018
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
572020
Hybrid machine learning for predicting strength of sustainable concrete
AD Pham, NT Ngo, QT Nguyen, NS Truong
Soft Computing 24 (19), 14965-14980, 2020
522020
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
492022
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
472016
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
392021
Hybrid computational model for predicting bridge scour depth near piers and abutments
JS Chou, AD Pham
Automation in Construction 48, 88-96, 2014
392014
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