Warit Wipulanusat - researchr alias

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Viewing Publication 1 - 5 from 5

2024

Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networksWittaya Jitchaijaroen, Suraparb Keawsawasvong, Warit Wipulanusat, Divesh Ranjan Kumar, Pitthaya Jamsawang, Jirapon Sunkpho. iswa, 21:200329, March 2024. [doi]

Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loadingDivesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, Suraparb Keawsawasvong, Pijush Samui. iswa, 21:200314, March 2024. [doi]

2023

Machine learning approaches for prediction of the bearing capacity of ring foundations on rock massesDivesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen. esi, 16(4):4153-4168, December 2023. [doi]

Liquefaction susceptibility using machine learning based on SPT dataDivesh Ranjan Kumar, Pijush Samui, Avijit Burman, Warit Wipulanusat, Suraparb Keawsawasvong. iswa, 20:200281, November 2023. [doi]

2017

Statistical Data Analysis of Culture for Innovation Using an Open Data Set from the Australian Public ServiceWarit Wipulanusat, Kriengsak Panuwatwanich, Rodney A. Stewart. bncod 2017: 78-89 [doi]

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