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Thesis
Home   /   Post Doctorat   /   Development of processing by Artificial Intelligence of a measuring and forecasting station

Development of processing by Artificial Intelligence of a measuring and forecasting station

Artificial intelligence & Data intelligence Earth and environmental sciences Environment and pollution Technological challenges

Abstract

This post-doctoral proposal is part of the French atomic commission (CEA) project "MultiMod'Air", which involves developing an « intelligent » prototype of air quality measurement and forecasting station within two years. The work proposal is to develop the bricks of Artificial Intelligence (AI) of the project: correction by ANN (Artificial Neuronal network) of the measurements obtained through low cost sensors, correction ANN of weather forecasts at the station level, which are simple treatments to implement. The actual research work will concern the development of a AI based pollution forecast at the station by learning from past events.

Laboratory

Département de Technologie Nucléaire
Service Mesures et modélisation des Transferts et des Accidents graves
Laboratoire de Modélisation des Transferts dans l’Environnement
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