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Novel approach to predicting soil permeability coefficient using Gaussian process regression

In the design stage of construction projects, determining the soil permeability coefficient is one of the most important steps in assessing groundwater, infiltration, runoff, and drainage. In this study, various kernel-function-based Gaussian process regression models were developed to estimate the...

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书目详细资料
Main Authors:	Ahmad, Mahmood, Keawsawasvong, Suraparb, Ibrahim, Mohd Rasdan, Waseem, Muhammad, Kashyzadeh, Kazem Reza, Sabri, Mohanad Muayad Sabri
格式:	Article
出版:	MDPI 2022
主题:	GE Environmental Sciences TA Engineering (General). Civil engineering (General)
在线阅读:	http://eprints.um.edu.my/41646/
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