Are Deep Learning Models in Hydrology Entity Aware?
Abstract Hydrology is experiencing a shift from process‐based toward deep learning (DL) models. Entity‐aware (EA) DL models with static features (predominantly physiographic proxies) merged to dynamic forcing features show significant performance improvements. However, recent studies challenge the n...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Wiley
2025-03-01
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| Saila: | Geophysical Research Letters |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1029/2024GL113036 |
| Etiketak: |
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