Suraparb Keawsawasvong

According to our database, Suraparb Keawsawasvong authored at least 15 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An eXtreme Gradient Boosting prediction of uplift capacity factors for 3D rectangular anchors in natural clays.

Duy Tan Tran, Tinnapat Onjaipurn, Divesh Ranjan Kumar, Weeraya Chim-Oye, Suraparb Keawsawasvong, Pitthaya Jamsawang

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.

Divesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, Suraparb Keawsawasvong, Pijush Samui

Intell. Syst. Appl., March, 2024

Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks.

Wittaya Jitchaijaroen, Suraparb Keawsawasvong, Warit Wipulanusat, Divesh Ranjan Kumar, Pitthaya Jamsawang, Jirapon Sunkpho

Intell. Syst. Appl., March, 2024

An extreme learning neural network approach for seismic bearing capacity estimation of planar caissons in nonhomogeneous clays.

Van Qui Lai, Vinay Bhushan Chauhan, Suraparb Keawsawasvong, Kongtawan Sangjinda, Jitesh T. Chavda, Lindung Zalbuin Mase

Earth Sci. Informatics, February, 2024

Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay.

Kongtawan Sangjinda, Divesh Ranjan Kumar, Suraparb Keawsawasvong, Warit Wipulanusat, Pitthaya Jamsawang

Adv. Eng. Softw., 2024

2023

Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses.

Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen

Earth Sci. Informatics, December, 2023

Liquefaction susceptibility using machine learning based on SPT data.

Divesh Ranjan Kumar, Pijush Samui, Avijit Burman, Warit Wipulanusat, Suraparb Keawsawasvong

Intell. Syst. Appl., November, 2023

Uplift resistance of caisson foundation in NGI-ADP soil using FEA and ANN.

Van Qui Lai, Minh Nhat Tran, Jim Shiau, Suraparb Keawsawasvong, Ba Vinh Le, Trung Kien Nguyen, Duc Quy Le

Adv. Eng. Softw., October, 2023

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

Dang Khoa Nguyen, Phuoc Trong-Nguyen, Chayut Ngamkhanong, Suraparb Keawsawasvong, Van Qui Lai

Neural Comput. Appl., May, 2023

Machine learning regression approach for analysis of bearing capacity of conical foundations in heterogenous and anisotropic clays.

Chung Nguyen Van, Suraparb Keawsawasvong, Dang Khoa Nguyen, Van Qui Lai

Neural Comput. Appl., February, 2023

2022

Crack Identification in Cantilever Beam under Moving Load Using Change in Curvature Shapes.

Nutthapong Kunla, Thira Jearsiripongkul, Suraparb Keawsawasvong, Chanachai Thongchom

Comput., 2022

Stability Evaluations of Unlined Horseshoe Tunnels Based on Extreme Learning Neural Network.

Thira Jearsiripongkul, Suraparb Keawsawasvong, Rungkhun Banyong, Sorawit Seehavong, Kongtawan Sangjinda, Chanachai Thongchom, Jitesh T. Chavda, Chayut Ngamkhanong

Comput., 2022

Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials.

Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, Suraparb Keawsawasvong, Mohanad Muayad Sabri Sabri, Irfan Jamil, Arnold C. Alguno

Complex., 2022

An Effective Artificial Intelligence Approach for Slope Stability Evaluation.

Mohammad Khajehzadeh, Mohd Raihan Taha, Suraparb Keawsawasvong, Hamidreza Mirzaei, Mohammadreza Jebeli

IEEE Access, 2022

An Adaptive Tunicate Swarm Algorithm for Optimization of Shallow Foundation.

Amirbahador Arabali, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Adil Hussein Mohammed, Baseem Khan

IEEE Access, 2022