Temporal MLP Network for PM 2.5 Estimation
Author:
Affiliation:
1. Rochester Institute of Technology,Chester F. Carlson Center for Imaging Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884866.pdf?arnumber=9884866
Reference17 articles.
1. Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model
2. Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM<sub>2.5</sub>): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations
3. Estimating PM2.5 concentrations via random forest method using satellite, auxiliary, and ground-level station dataset at multiple temporal scales across China in 2017
4. A support vector machine model to forecast ground-level PM2.5 in a highly populated city with a complex terrain
5. Extreme gradient boosting model to estimate PM2.5 concentrations with missing-filled satellite data in China
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