首页|Recent Studies from St. Louis University Add New Data to Machine Learning (Inter pretable Machine Learning Tools To Analyze Pm2.5 Sensor Network Data so As To Qu antify Local Source Impacts and Long-range Transport)
Recent Studies from St. Louis University Add New Data to Machine Learning (Inter pretable Machine Learning Tools To Analyze Pm2.5 Sensor Network Data so As To Qu antify Local Source Impacts and Long-range Transport)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from St. Louis, M issouri, by NewsRx correspondents, research stated, “Sensornetworks provide spa tially resolved information about the time variation of PM2.5 concentrations inurban areas around the world. With relatively simple improvements to the control of the temperature andhumidity of incoming air, and with proper quality assura nce and calibration protocols, a low cost monitorwas developed that provides me asurements that were highly correlated with a reference PM2.5 monitor.”Financial support for this research came from United States Department of State.
St. LouisMissouriUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningSt. Lou is University
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