Duke team devise method for detecting PM2.5 pollution using AI/machine learning, micro-satellite imagery and weather data
Green Car Congress
APRIL 27, 2020
Such information could help researchers identify hidden hotspots of dangerous pollution, greatly improve studies of pollution on human health, or potentially tease out the effects of unpredictable events on air quality, such as the breakout of an airborne global pandemic. pollution. —Mike Bergin. concentrations.
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