A three-level machine learning approach to short-term PM2.5 prediction in metropolitan areas using heterogenous PM2.5 data
Jing Li, University of Denver, Geography and the Environment, Denver, CO, United States, Jennifer Murdock, University of Denver, Department of Geography and the Environment, Denver, United States, James Crooks, National Jewish Health, Denver, CO, United States, Priyanka deSouza, Department of Urban and Regional Planning, University of Colorado, Denver, Denver, United States, Kirk Hohsfield, University of Colorado - Anschutz Medical Campus, Aurora, United States, Bill Obermann5, Department of Public Health and Environment, City and County of Denver, Denver, United States and Tehya Stockman, University of Colorado at Boulder, Boulder, United States
