Hosang Han
Biographic Data
| ID | 9967608 |
|---|---|
| NAME | Hosang Han |
| GIVEN NAMES | Hosang |
| FAMILY NAME | Han |
| SIGNATURE | HAN H |
| AFFILIATIONS | Kangwon National University |
| ORCID | 0000-0002-9254-7243 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Comparative Analysis of Machine Learning–Kriging Integrative Approaches for Enhanced Spatial Prediction of Mineral Exploration Data
Accurate prediction of mineral concentrations from sparse exploration data is important for resource estimation. This study evaluates hybrid prediction models combining machine learning (ML) and geostatistics to predict aluminum (Al) concentrations. Twelve hybrid configurations were generated by combining six ML backbones—Random Forest, XGBoost, AdaBoost, ResNet, U-Net, and Spatial Transformer Network—with Ordinary Kriging (OK) and Universal Krig…
No prominent works on this page.
Comparative Analysis of Machine Learning–Kriging Integrative Approaches for Enhanced Spatial Prediction of Mineral Exploration Data
Accurate prediction of mineral concentrations from sparse exploration data is important for resource estimation. This study evaluates hybrid prediction models combining machine learning (ML) and geostatistics to predict aluminum (Al) concentrations. Twelve hybrid configurations were generated by combining six ML backbones—Random Forest, XGBoost, AdaBoost, ResNet, U-Net, and Spatial Transformer Network—with Ordinary Kriging (OK) and Universal Krig…
Geochemistry and Geologic Mapping (1 work) · Geostatistics (1 work) · Hyperparameter (1 work) · Kriging (1 work) · Mineral exploration (1 work) · Mineral Processing and Grinding (1 work) · Residual (1 work) · Soil Geostatistics and Mapping (1 work) · Spatial analysis (1 work)