A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast
Frost forecast is an important issue in climate research because of its economic impact on several industries. In this study, we propose GRAST-Frost, a graph neural network (GNN) with spatio-temporal architecture, which is used to predict minimum temperatures and the incidence of frost. We developed...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2022-02-01
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| Saila: | Sensors |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/1424-8220/22/4/1486 |
| Etiketak: |
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