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

patel-zeel/AAAI22 AAAI 2018

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

yadav-sachin/DeepGP-AQ-Inference 18 Nov 2022

Accurate, fine-grained air quality (AQ) monitoring is essential to control and reduce pollution.