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Missing Value Imputation of Time-Series Air-Quality Data via Deep Neural Networks
To prevent severe air pollution, it is important to analyze time-series air quality data, but this is often challenging as the time-series data is usually partially missing, especially when it is collected from multiple locations simultaneously. To solve this problem, various deep-learning-based mis...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618081/ https://www.ncbi.nlm.nih.gov/pubmed/34831969 http://dx.doi.org/10.3390/ijerph182212213 |