no code implementations • 6 Oct 2021 • Thibaut Cassard, Grégoire Jauvion, Antoine Alléon, Boris Quennehen, David Lissmyr
Then, the engine is based on a U-Net architecture built with several of those blocks, giving it the ability to process inputs and to output predictions at different resolutions.
no code implementations • 14 Jun 2020 • Antoine Alléon, Grégoire Jauvion, Boris Quennehen, David Lissmyr
This paper presents an engine able to forecast jointly the concentrations of the main pollutants harming people's health: nitrogen dioxyde (NO2), ozone (O3) and particulate matter (PM2. 5 and PM10, which are respectively the particles whose diameters are below 2. 5 um and 10 um respectively).
