Robotics & Machine Learning Daily News2024,Issue(Apr.24) :63-64.

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)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :63-64.

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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Abstract

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.”

Key words

Rensselaer/New York/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Epidemiology/Machine Le arning/State University of New York (SUNY) Albany

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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