Predicting PM2.5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data
Titel:
Predicting PM2.5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data
Auteur:
Muthukumar, Pratyush Cocom, Emmanuel Nagrecha, Kabir Comer, Dawn Burga, Irene Taub, Jeremy Calvert, Chisato Fukuda Holm, Jeanne Pourhomayoun, Mohammad