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Ngoc-Mai Nguyen ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Nguyen, Ngoc-Mai / Chou, Jui-Sheng (2024): Forecasting Mechanical Properties of Steel Structures Through Dynamic Metaheuristic Optimization for Adaptive Machine Learning. In: Journal of Civil Engineering and Management, v. 30, n. 5 (27 Mai 2024).

    https://doi.org/10.3846/jcem.2024.21356

  2. Nguyen, Thanh-Hung / Tran, Duc-Hoc / Nguyen, Ngoc-Mai / Vuong, Hoang-Thach / Chien-Cheng, Chen / Cao, Minh-Tu (2023): Accurately predicting the mechanical behavior of deteriorated reinforced concrete components using natural intelligence-integrated Machine learners. In: Construction and Building Materials, v. 408 (Dezember 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133753

  3. Nguyen, Ngoc-Mai / Wang, Wei-Chih / Cao, Minh-Tu (2023): Early estimation of the long-term deflection of reinforced concrete beams using surrogate models. In: Construction and Building Materials, v. 370 (März 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.130670

  4. Wang, Wei-Chih / Nguyen, Ngoc-Mai / Cao, Minh-Tu (2022): Smart ensemble machine learner with hyperparameter-free for predicting bond capacity of FRP-to-concrete interface: Multi-national data. In: Construction and Building Materials, v. 345 (August 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128158

  5. Cao, Minh-Tu / Nguyen, Ngoc-Mai / Wang, Wei-Chih (2022): Using an evolutionary heterogeneous ensemble of artificial neural network and multivariate adaptive regression splines to predict bearing capacity in axial piles. In: Engineering Structures, v. 268 (Oktober 2022).

    https://doi.org/10.1016/j.engstruct.2022.114769

  6. Chou, Jui-Sheng / Nguyen, Ngoc-Mai (2022): Scour depth prediction at bridge piers using metaheuristics-optimized stacking system. In: Automation in Construction, v. 140 (August 2022).

    https://doi.org/10.1016/j.autcon.2022.104297

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