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Reliability-based optimization for concrete-filled steel tubular columns incorporating multi-advanced techniques and model constraints.
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- Advances in Mechanical Engineering (Sage Publications Inc.), 2024, v. 16, n. 10, p. 1, doi. 10.1177/16878132241293508
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- Article
Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data.
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- Sensors (14248220), 2019, v. 19, n. 22, p. 4941, doi. 10.3390/s19224941
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- Article
Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 24, p. 5458, doi. 10.3390/app9245458
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- Article
Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 18, p. 3841, doi. 10.3390/app9183841
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- Article
Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 11, p. 2258, doi. 10.3390/app9112258
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- Article
Erratum: Ly, H.-B., et al. Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams. Sustainability2020, 12, 2709.
- Published in:
- 2020
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- Correction Notice
Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams.
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- Sustainability (2071-1050), 2020, v. 12, n. 7, p. 2709, doi. 10.3390/su12072709
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- Publication type:
- Article
A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation.
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- Sustainability (2071-1050), 2020, v. 12, n. 3, p. 830, doi. 10.3390/su12030830
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- Publication type:
- Article
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models.
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- Neural Computing & Applications, 2021, v. 33, n. 8, p. 3437, doi. 10.1007/s00521-020-05214-w
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- Article
Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials.
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- Materials (1996-1944), 2019, v. 12, n. 11, p. 1828, doi. 10.3390/ma12111828
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- Article
Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression.
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- Materials (1996-1944), 2019, v. 12, n. 10, p. 1670, doi. 10.3390/ma12101670
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- Article