Machine learning models accurately predict ozone exposure during wildfire events
Journal Article
Overview
publication date
- November 1, 2019
has subject area
- Air Pollutants
- Air Pollution
- Computing Methodologies - Algorithms
- Computing Methodologies - Machine Learning
- Environment and Public Health - Reproducibility of Results
- Environmental Exposure - Environmental Monitoring
- Fires - Wildfires
- Geological Phenomena - Wildfires
- Health Care Evaluation Mechanisms - Reproducibility of Results
- Investigative Techniques - Reproducibility of Results
- Investigative Techniques - Reproducibility of Results
- Mathematical Concepts - Algorithms
- Mathematical Concepts - Machine Learning
- Natural Disasters - Wildfires
- Ozone
- Pacific States - California
- Public Health Practice - Environmental Monitoring
- Southwestern United States - California
has restriction
- green
Date in CU Experts
- August 27, 2019 4:06 AM
Full Author List
- Watson GL; Telesca D; Reid CE; Pfister GG; Jerrett M
author count
- 5
citation count
- 53
published in
Other Profiles
International Standard Serial Number (ISSN)
- 0269-7491
Electronic International Standard Serial Number (EISSN)
- 1873-6424
Digital Object Identifier (DOI)
Additional Document Info
volume
- 254
number
- ARTN 112792