Cornell team develops computationally efficient machine learning models for hyperlocal models of PM2.5 concentrations
Green Car Congress
JANUARY 17, 2023
Described in a paper in the journal Transportation Research Part D: Transport and Environment , the modeling approach has low data requirements and is computationally efficient. Higher resolution can help transportation and epidemiology studies assess health, environmental justice and air quality impacts. 2022.103505.
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