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The IntelliAQ project focuses on improving global air quality analysis by utilizing deep neural networks on a vast dataset of air quality measurements. It aims to fill observation gaps, forecast air quality, and assess measurement quality, ultimately enhancing air quality services.
The IntelliAQ project will develop novel approaches for the analysis and synthesis of global air quality data based on deep neural networks.
The foundation of this project is the world’s largest collection of surface air quality measurements, which was recently assembled by the principal investigator and plays a pivotal role in the ongoing first comprehensive Tropospheric Ozone Assessment Report (TOAR).
This database will be complemented with data from the world’s leading effort to collect globa…
FORSCHUNGSZENTRUM JULICH GMBH
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