Forecasting seasonal influenza epidemics with physics-informed neural networks
Accurate epidemic forecasting is critical for informing public health decisions and timely interventions. While physics-informed neural networks have shown promise in various scientific domains, their potential application to real-time epidemic forecasting remains underexplored. Here, we present SIR...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2026-06-01
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| Series: | Epidemics |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S1755436526000356 |
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