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...

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Autores principales: Taesung Kim, Jinhee Kim, Wonho Yang, Hunjoo Lee, Jaegul Choo
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/3ecc1319154346a2ac95bf42d3713e90
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