首页|Researchers from State University of New York (SUNY) Albany Report on Findings I n Machine Learning (Unmasking the Sky: Highresolution Pm2.5 Prediction In Texas Using Machine Learning Techniques)
Researchers from State University of New York (SUNY) Albany Report on Findings I n Machine Learning (Unmasking the Sky: Highresolution Pm2.5 Prediction In Texas Using Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting originating from Rens selaer, New York, by NewsRx correspondents, research stated, “AlthoughPM2.5 (fi ne particulate matter with an aerodynamic diameter less than 2.5 mu m) is an air pollutant ofgreat concern in Texas, limited regulatory monitors pose a signifi cant challenge for decision-making andenvironmental studies. This study aimed t o predict PM2.5 concentrations at a fine spatial scale on adaily basis by using novel machine learning approaches and incorporating satellite-derived Aerosol O pticalDepth (AOD) and a variety of weather and land use variables.”
RensselaerNew YorkUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesEpidemiologyMachine Le arningState University of New York (SUNY) Albany
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