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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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書誌詳細
主要な著者:	Ahmad, Mahmood, Keawsawasvong, Suraparb, Ibrahim, Mohd Rasdan, Waseem, Muhammad, Kashyzadeh, Kazem Reza, Sabri, Mohanad Muayad Sabri
フォーマット:	論文
出版事項:	MDPI 2022
主題:	GE Environmental Sciences TA Engineering (General). Civil engineering (General)
オンライン･アクセス:	http://eprints.um.edu.my/41646/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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