Divesh Ranjan Kumar

According to our database, Divesh Ranjan Kumar authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

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

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