An automatic sediment-facies classification approach using machine learning and feature engineering
Detection of sedimentary facies and their boundaries can be automated effectively by a combination of a machine learning classification model and feature engineering, suggesting analyses of X-ray fluorescence profiles of sedimentary cores from North Sea tidal flats in Germany
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-11-01
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| Series: | Communications Earth & Environment |
| Online Access: | https://doi.org/10.1038/s43247-022-00631-2 |