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An Interpretable Time Series Data Prediction Framework for Severe Accidents in Nuclear Power Plants
Accurately predicting severe accident data in nuclear power plants is of utmost importance for ensuring their safety and reliability. However, existing methods often lack interpretability, thereby limiting their utility in decision making. In this paper, we present an interpretable framework, called...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453600/ https://www.ncbi.nlm.nih.gov/pubmed/37628190 http://dx.doi.org/10.3390/e25081160 |