Suraparb Keawsawasvong

Orcid: 0000-0002-1760-9838

According to our database1, Suraparb Keawsawasvong authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

2023
Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses.
Earth Sci. Informatics, December, 2023

Liquefaction susceptibility using machine learning based on SPT data.
Intell. Syst. Appl., November, 2023

Uplift resistance of caisson foundation in NGI-ADP soil using FEA and ANN.
Adv. Eng. Softw., October, 2023

Bearing capacity of ring footings in anisotropic clays: FELA and ANN.
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

An Effective Artificial Intelligence Approach for Slope Stability Evaluation.
IEEE Access, 2022

An Adaptive Tunicate Swarm Algorithm for Optimization of Shallow Foundation.
IEEE Access, 2022


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