Suraparb Keawsawasvong
Orcid: 0000-0002-1760-9838
According to our database1,
Suraparb Keawsawasvong
authored at least 18 papers
between 2022 and 2025.
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Bibliography
2025
Optimized ANN-based surrogate models for evaluating the stability of trapdoors in Hoek‒Brown rock masses.
Earth Sci. Informatics, January, 2025
Probabilistic analysis of the bearing capacity of spatially random Hoek‒Brown rock masses by integrating finite element limit analysis, random field theory, and XGBoost models.
Earth Sci. Informatics, January, 2025
Prediction of the limiting uniform normal pressure in deep contiguous piled walls using soft computing techniques.
Adv. Eng. Softw., 2025
2024
An eXtreme Gradient Boosting prediction of uplift capacity factors for 3D rectangular anchors in natural clays.
Earth Sci. Informatics, June, 2024
Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading.
Intell. Syst. Appl., March, 2024
Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks.
Intell. Syst. Appl., March, 2024
An extreme learning neural network approach for seismic bearing capacity estimation of planar caissons in nonhomogeneous clays.
Earth Sci. Informatics, February, 2024
Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay.
Adv. Eng. Softw., 2024
2023
Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses.
Earth Sci. Informatics, December, 2023
Intell. Syst. Appl., November, 2023
Adv. Eng. Softw., October, 2023
Neural Comput. Appl., May, 2023
Machine learning regression approach for analysis of bearing capacity of conical foundations in heterogenous and anisotropic clays.
Neural Comput. Appl., February, 2023
2022
Crack Identification in Cantilever Beam under Moving Load Using Change in Curvature Shapes.
Comput., 2022
Stability Evaluations of Unlined Horseshoe Tunnels Based on Extreme Learning Neural Network.
Comput., 2022
Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials.
Complex., 2022
IEEE Access, 2022
IEEE Access, 2022