Graph Neural Network for Air Quality Prediction: A Case Study in Madrid

Graph Neural Network for Air Quality Prediction: A Case Study in Madrid

Air quality monitoring, modelling and forecasting are considered pressing and challenging topics for citizens and decision-makers, including the government. The tools used to achieve the above goals vary depending on the opportunities provided by technological development. Much attention is currentl...

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Bibliographic Details
Main Authors: Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Graph neural network
attention temporal graph convolutional network
spatiotemporal prediction
nitrogen dioxide prediction
air quality prediction
Online Access:https://ieeexplore.ieee.org/document/10005808/

Internet

https://ieeexplore.ieee.org/document/10005808/

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