University of Maryland Researchers Provide Details of New Studies and Findings in the Area of Machine Learning (Forecasting 24 h averaged PM [ [2.5] ] concentration in the Aburra Valley using tree-based machine learning models, global …)

Robotics & Machine Learning Daily News2024，Issue(Jan.8) ：74-75.

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University of Maryland Researchers Provide Details of New Studies and Findings in the Area of Machine Learning (Forecasting 24 h averaged PM [ [2.5] ] concentration in the Aburra Valley using tree-based machine learning models, global …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intelligence have been published. According to newsreporting out of College Park, United States, by NewsRx editors, research stated, “We develop a frameworkto forecast 24 h averaged particulate matter (PM [ [2.5] ] ) concentrations 4 d in advance in ground-basedstations over the metropolitan area of the Aburra Valley, Colombia. The input variables are gatheredfrom a highly diverse set of sources, including in situ real-time PM [ [2.5] ] observations, meteorologicalforecasts from the Global Forecasting System (GFS), aerosol optical depth (AOD) forecasts from theEuropean Copernicus Atmosphere Monitoring Service (CAMS), and the Moderate Resolution ImagingSpectroradiometer (MODIS) active fire products.”

Key words

University of Maryland/College Park/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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