Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties
Abstract This study presents a machine learning approach to predict the structural number of flexible pavements using subgrade soil properties and environmental conditions. Four algorithms were evaluated, including random forest, extreme gradient boosting, gradient boosting, and K nearest neighbors....
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| Formato: | Artigo |
| Idioma: | Inglês |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Acceso en liña: | https://doi.org/10.1038/s41598-025-13852-0 |
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