Razi Sheikholeslami

Input data uncertainty analysis with data augmentation methods for groundwater level prediction with the random forest model

Groundwater plays a crucial role in sustaining ecosystems and supporting agriculture and industry, parti…

Random Forest-Based Global Sensitivity Analysis for SWAT+: Identifying Key Hydrological Inputs

To improve decision making in watershed management, numerical models, e g the Soil and Water Assessment…

A Multivariate Approach to Accounting for Input Data Uncertainty in Water Quality Assessment

Water Quality Index WQI is one of the most popular mathematical approaches for assessing the quality of…