首页|Findings from University of Patras Provide New Insights into Machine Learning (R etrieval of Aerosol Optical Properties via an All-Sky Imager and Machine Learnin g: Uncertainty in Direct Normal Irradiance Estimations)
Findings from University of Patras Provide New Insights into Machine Learning (R etrieval of Aerosol Optical Properties via an All-Sky Imager and Machine Learnin g: Uncertainty in Direct Normal Irradiance Estimations)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news originatingfrom Patras, Greece, by NewsRx e ditors, the research stated, “Quality-assured aerosol optical properties(AOP) w ith high spatiotemporal resolution are vital for the accurate estimation of dire ct aerosol radiativeforcing and solar irradiance under clear skies.”
University of PatrasPatrasGreeceEu ropeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
