Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data
Sub-surface soil hydrological characterization is one of the challenging tasks for engineers and soil scientists, especially the complex hydrological processes that combine key variables such as soil moisture, matric suction, and soil temperature. The ability to infer these variables through a singu...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
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| Series: | Geotechnics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-7094/5/1/5 |
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