Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations

Conference Object

Abstract: Effective actions to mitigate air pollution require of availability of high-resolution observations.

Palabras claves:

air pollution, Gaussian Process, MACHINE-LEARNING, sensor data, spatio-temporal models

Autores:

Ronald Gualán Saavedra, Tran-Thanh L., Víctor Saquicela

Fuentes:

google

scopus