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Plos One|March 21, 2022
Developing random forest hybridization models for estimating the axial bearing capacity of pileTuan Anh Pham, Van Quan TranPlos One|March 5, 2024
Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithmLanh Si Ho, Van Quan TranScience Progress|December 13, 2024
Predicting and evaluating settlement of shallow foundation using machine learning approachThi Thanh Huong Ngo, Van Quan TranPlos One|June 8, 2023
Developing interpretable machine learning-Shapley additive explanations model for unconfined compressive strength of cohesive soils stabilized with geopolymerAnh Quan Ngo, Linh Quy Nguyen, Van Quan TranPlos One|October 26, 2023
Machine learning approaches for predicting Cracking Tolerance Index (CTIndex) of asphalt concrete containing reclaimed asphalt pavementLan Ngoc Nguyen, Thanh-Hai Le, Linh Quy Nguyen, et al.Plos One|December 17, 2020
Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacityTuan Anh Pham, Van Quan Tran, Huong-Lan Thi Vu, et al.Plos One|December 3, 2021
Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFSVan Quan Tran, Hai-Van Thi Mai, Thuy-Anh Nguyen, et al.Plos One|January 2, 2025
Solar energy prediction through machine learning models: A comparative analysis of regressor algorithmsHuu Nam Nguyen, Quoc Thanh Tran, Canh Tung Ngo, et al.Plos One|April 2, 2021
Investigation of ANN architecture for predicting shear strength of fiber reinforcement bars concrete beamsQuang Hung Nguyen, Hai-Bang Ly, Thuy-Anh Nguyen, et al.Materials (Basel, Switzerland)|March 12, 2020
Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under CompressionHung Quang Nguyen, Hai-Bang Ly, Van Quan Tran, et al.Pageof 2