Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting

22 Oct 2018Philipp HaehnelJakub MarecekJulien MonteilFearghal O'Donncha

Across numerous applications, forecasting relies on numerical solvers for partial differential equations (PDEs). Although the use of deep-learning techniques has been proposed, actual applications have been restricted by the fact the training data are obtained using traditional PDE solvers... (read more)

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