Cornell team develops computationally efficient machine learning models for hyperlocal models of PM2.5 concentrations

Green Car Congress
By mmillikinJan 17, 2023, 8:30 am290 pts
Cornell engineers have developed machine learning models to simplify and reinforce models to calculate the fine particulate matter (PM2.5) contained in urban air pollution. Described in a paper in the journal Transportation Research Part D: Transport and Environment, the modeling approach has low data…

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