Evaluation of highway collapse hazard susceptibility based on the coupling of information value model and multiple machine learning models
Collapse hazards are among the most common geological hazards and pose severe challenges to transportation infrastructure. While machine learning has shown promise in hazard prediction, conventional qualitative methods are often subjective, and single machine learning models are prone to overfitting...
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| Autors principals: | , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Taylor & Francis Group
2026-12-01
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| Col·lecció: | Geomatics, Natural Hazards & Risk |
| Matèries: | |
| Accés en línia: | https://www.tandfonline.com/doi/10.1080/19475705.2026.2617031 |
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