Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations

César Quilodrán-Casas, Rossella Arcucci, Laetitia Mottet +2

This paper presents an approach to improve the forecast of computational fluid dynamics (CFD) simulations of urban air pollution using deep learning, and most specifically adversar…