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Warit Wipulanusat
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2020 – today
- 2024
- [j5]Kongtawan Sangjinda, Divesh Ranjan Kumar, Suraparb Keawsawasvong, Warit Wipulanusat, Pitthaya Jamsawang:
Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay. Adv. Eng. Softw. 193: 103668 (2024) - [j4]Divesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, Suraparb Keawsawasvong, Pijush Samui:
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. 21: 200314 (2024) - [j3]Wittaya Jitchaijaroen, Suraparb Keawsawasvong, Warit Wipulanusat, Divesh Ranjan Kumar, Pitthaya Jamsawang, Jirapon Sunkpho:
Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks. Intell. Syst. Appl. 21: 200329 (2024) - 2023
- [j2]Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen:
Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses. Earth Sci. Informatics 16(4): 4153-4168 (2023) - [j1]Divesh Ranjan Kumar, Pijush Samui, Avijit Burman, Warit Wipulanusat, Suraparb Keawsawasvong:
Liquefaction susceptibility using machine learning based on SPT data. Intell. Syst. Appl. 20: 200281 (2023)
2010 – 2019
- 2017
- [c1]Warit Wipulanusat, Kriengsak Panuwatwanich, Rodney A. Stewart:
Statistical Data Analysis of Culture for Innovation Using an Open Data Set from the Australian Public Service. BICOD 2017: 78-89
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last updated on 2024-10-07 22:19 CEST by the dblp team
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