Compositional data-aware deep learning for geochemical anomaly detection: A Novel framework for mineral prospectivity mapping
Fields of Study & Subjects
Geochemistry and Geologic Mapping
Soil Geostatistics and Mapping
Mineral Processing and Grinding
Publication details
- Journal / source
- Physics and Chemistry of the Earth Parts A/B/C
- Publisher
- Elsevier BV
- Volume
- 143
- Pages
- 104352–104352
- Publication date
- 21 February 2026
- Language
- EN