Enhancing soil moisture prediction via a physics-informed xLSTM with multi-variate temporal dynamics
Accurate characterization of soil moisture (SM) is paramount for elucidating complex hydrological processes. To mitigate predictive uncertainties arising from the non-linearity of soil water movement and stochastic boundary conditions, this study presents xLSTM-MTV, a recurrent modeling framework in...
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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: | Engineering Applications of Computational Fluid Mechanics |
| Matèries: | |
| Accés en línia: | https://www.tandfonline.com/doi/10.1080/19942060.2026.2678125 |
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