STAR: Spatio-Temporal Prediction of Air Quality Using A Multimodal Approach

Bui Tien-Cuong
Bui Tien-Cuong
Kim Joonyoung
Kim Joonyoung
Kang Taewoo
Kang Taewoo
Lee Donghyeon
Lee Donghyeon
Choi Junyoung
Choi Junyoung
Yang Insoon
Yang Insoon
Cha Sang Kyun
Cha Sang Kyun

sai intelligent systems conference, pp. 389-406, 2020.

Cited by: 0|Bibtex|Views4|DOI:https://doi.org/10.1007/978-3-030-55187-2_31
Other Links: arxiv.org|academic.microsoft.com

Abstract:

With the increase of global economic activities and high energy demand, many countries have raised concerns about air pollution. However, air quality prediction is a challenging issue due to the complex interaction of many factors. In this paper, we propose a multimodal approach for spatio-temporal air quality prediction. Our model learns...More

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