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Home > Impact > Funded Projects > Machine Learning Identification of Real-Time Wind Direction and Velocity from a Novel Anemometer Integrated into an Emission Mass Flowmeter
This technology is proposed to be used in emissions measurement for greenhouse gas emission (GHG) reporting, specifically sources of non-continuous GHG emissions and/or varying atmospheric and environmental condition for various market applications include oil and gas, agriculture, manufacturing, landfills, commercial real estate, and more.