Temporal convolutional denoising autoencoder network for air pollution prediction with missing values

In recent years, people are paying more attention to improve air quality levels to mitigate its negative impact on human health. So, effective air pollution control has become one of the hottest environmental issues. Accurate pollution prediction plays a vital role in air pollution control. However,...

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Vydané v:	Urban climate Ročník 38; s. 100872
Hlavní autori:	Samal, K. Krishna Rani, Babu, Korra Sathya, Das, Santos Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2021
Predmet:	Autoencoder LSTM PM2.5 Temporal convolutional network Time series prediction Time series prediction LSTM Temporal convolutional network Autoencoder PM2.5
ISSN:	2212-0955, 2212-0955
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