Air Quality Inference
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Most implemented papers
A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations
We leverage both the information from monitoring stations and urban data that are closely related to air quality, including POIs, road networks and meteorology.
Deep Gaussian Processes for Air Quality Inference
Accurate, fine-grained air quality (AQ) monitoring is essential to control and reduce pollution.