Spatiotemporal Deep Learning Model for Citywide Air Pollution Interpolation and Prediction

Air pollution prediction for the whole city is a challenging problem. The reason is, there are many spatiotemporal factors affecting air pollution throughout the city. Collecting as many of them could help us to forecast air pollution better. In this research, we present many spatiotemporal datasets...

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Vydané v:	International Conference on Big Data and Smart Computing s. 55 - 62
Hlavní autori:	Le, Van-Duc, Bui, Tien-Cuong, Cha, Sang-Kyun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2020
Predmet:	Air pollution Atmospheric modeling citywide deep learning Interpolation prediction Predictive models spatiotemporal Spatiotemporal phenomena Tensile stress Urban areas
ISSN:	2375-9356
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