Prediction of permeability of amended soil using ensembled artificial intelligence models
Abstract Soil permeability is a critical parameter that dictates the movement of water through soil, and it impacts processes such as seepage, erosion, slope stability, foundation design, groundwater contamination, and various engineering applications. This study investigates the permeability of soi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-04-01
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| Series: | AI in Civil Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43503-025-00052-y |
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