Novel approach to predicting soil permeability coefficient using Gaussian process regression

• Main Authors: Ahmad, Mahmood, Keawsawasvong, Suraparb, Ibrahim, Mohd Rasdan, Waseem, Muhammad, Kashyzadeh, Kazem Reza, Sabri, Mohanad Muayad Sabri
• Format: Article
• Published: MDPI 2022
• Subjects: GE Environmental Sciences; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/41646/

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...