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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Huynh, Truc Thi-Minh / Le-Hoai, Long / Pham, Anh-Duc: A Sustainability-driven Integrated model of strategic management for coastal urban projects. Dans: Journal of Asian Architecture and Building Engineering.

    https://doi.org/10.1080/13467581.2023.2270024

  2. Ngo, Ngoc-Tri / Truong, Ngoc-Son / Truong, Thi Thu Ha / Pham, Anh-Duc / Huynh, Nhat-To (2023): Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance. Dans: Journal of Asian Architecture and Building Engineering, v. 23, n. 1 (novembre 2023).

    https://doi.org/10.1080/13467581.2023.2223587

  3. Huynh, Truc Thi-Minh / Dang, Chau Ngoc / Le-Hoai, Long / Pham, Anh-Duc / Nguyen, Truong Duy (2020): Proposing a strategy map for coastal urban project success using the balanced scorecard method. Dans: Engineering, Construction and Architectural Management, v. 27, n. 10 ( 2020).

    https://doi.org/10.1108/ecam-11-2018-0527

  4. Chou, Jui-Sheng / Pham, Anh-Duc (2015): Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 30, n. 9 (juillet 2015).

    https://doi.org/10.1111/mice.12121

  5. Chou, Jui-Sheng / Ngo, Ngoc-Tri / Pham, Anh-Duc (2016): Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression. Dans: Journal of Computing in Civil Engineering, v. 30, n. 1 (janvier 2016).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000466

  6. Pham, Anh-Duc / Hoang, Nhat-Duc / Nguyen, Quang-Trung (2016): Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression. Dans: Journal of Computing in Civil Engineering, v. 30, n. 3 (mai 2016).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000506

  7. Chou, Jui-Sheng / Pham, Anh-Duc (2013): Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength. Dans: Construction and Building Materials, v. 49 (décembre 2013).

    https://doi.org/10.1016/j.conbuildmat.2013.08.078

  8. Chou, Jui-Sheng / Tsai, Chih-Fong / Pham, Anh-Duc / Lu, Yu-Hsin (2014): Machine learning in concrete strength simulations: Multi-nation data analytics. Dans: Construction and Building Materials, v. 73 (décembre 2014).

    https://doi.org/10.1016/j.conbuildmat.2014.09.054

  9. Chou, Jui-Sheng / Irawan, Nelly / Pham, Anh-Duc (2013): Project Management Knowledge of Construction Professionals: Cross-Country Study of Effects on Project Success. Dans: Journal of Construction Engineering and Management, v. 139, n. 11 (novembre 2013).

    https://doi.org/10.1061/(asce)co.1943-7862.0000766

  10. Chou, Jui-Sheng / Pham, Anh-Duc / Wang, Hsin (2013): Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation. Dans: Automation in Construction, v. 35 (novembre 2013).

    https://doi.org/10.1016/j.autcon.2013.06.007

  11. Chou, Jui-Sheng / Lin, Chih-Wei / Pham, Anh-Duc / Shao, Ji-Yao (2015): Optimized artificial intelligence models for predicting project award price. Dans: Automation in Construction, v. 54 (juin 2015).

    https://doi.org/10.1016/j.autcon.2015.02.006

  12. Chou, Jui-Sheng / Pham, Anh-Duc (2014): Hybrid computational model for predicting bridge scour depth near piers and abutments. Dans: Automation in Construction, v. 48 (décembre 2014).

    https://doi.org/10.1016/j.autcon.2014.08.006

  13. Hoang, Nhat-Duc / Pham, Anh-Duc / Nguyen, Quoc-Lam / Pham, Quang-Nhat (2016): Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model. Dans: Advances in Civil Engineering, v. 2016 ( 2016).

    https://doi.org/10.1155/2016/2861380

  14. Hoang, Nhat-Duc / Pham, Anh-Duc (2016): Estimating Concrete Workability Based on Slump Test with Least Squares Support Vector Regression. Dans: Journal of Construction Engineering, v. 2016 ( 2016).

    https://doi.org/10.1155/2016/5089683

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