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- 2022
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Mark
Human-induced arsenic pollution modeling in surface waters : An integrated approach using machine learning algorithms and environmental factors
(
- Contribution to journal › Article
-
Mark
An Integrated InSAR-Machine Learning Approach for Ground Deformation Rate Modeling in Arid Areas
(
- Contribution to journal › Article
-
Mark
Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran
(
- Contribution to journal › Article
- 2021
-
Mark
APG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies
(
- Contribution to journal › Article
- 2020
-
Mark
Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors
(
- Contribution to journal › Article
-
Mark
Development of novel hybridized models for urban flood susceptibility mapping
(
- Contribution to journal › Article
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Mark
Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
(
- Contribution to journal › Article
- 2019
-
Mark
Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater
(
- Contribution to journal › Article
-
Mark
Cartografía del potencial de agua subterránea utilizando un nuevo modelo de conjuntos de minería de datos
(
- Contribution to journal › Article
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