Search Results for author: Boris Quennehen

Found 3 papers, 0 papers with code

PlumeCityNet: Multi-Resolution Air Quality Forecasting

no code implementations6 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.

PlumeNet: Large-Scale Air Quality Forecasting Using A Convolutional LSTM Network

no code implementations14 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).

DeepPlume: Very High Resolution Real-Time Air Quality Mapping

no code implementations14 Feb 2020 Grégoire Jauvion, Thibaut Cassard, Boris Quennehen, David Lissmyr

Plume Labs has deployed a similar prediction engine to build several products aiming at providing air quality data to individuals and businesses.

Vocal Bursts Intensity Prediction

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