Empirical and machine learning-based approaches to identify rainfall thresholds for landslide prediction: a case study of Kerala, India
Abstract For the safe and resilient development of cities, disaster risk reduction plays a crucial role, aligning with sustainable development goal 11 of the United Nations. Supporting this objective, the present study developed a machine learning (ML) classifier-based threshold model to determine r...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2025-03-01
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| Schriftenreihe: | Discover Applied Sciences |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s42452-025-06636-8 |
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