Multi-task deep neural network for air pollution prediction and spatial effect analysis

The deterioration of air quality is a crucial issue because of the negative effect it brings to human health and environment. Many data-driven models have been established to predict air pollution of one single location from its local weather and pollutant factors. However, an existing challenge is...

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Bibliographic Details

Main Authors:	Yuanlin Gu, Baihua Li, Qinggang Meng
Format:	Default Conference proceeding
Published:	2023
Subjects:	Air pollution time series prediction feature selection neural networks multi-task model
Online Access:	https://hdl.handle.net/2134/22674238.v1
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