首页|New Machine Learning Findings from EURAC Research Outlined (Minimized Training o f Machine Learning-based Calibration Methods for Low-cost O3 Sensors)
New Machine Learning Findings from EURAC Research Outlined (Minimized Training o f Machine Learning-based Calibration Methods for Low-cost O3 Sensors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Bolzano, Ital y, by NewsRx journalists, research stated, “Low-cost sensors (LCSs)show a huge potential toward enabling the pervasive and continuous monitoring of crucial env ironmentalparameters, supporting environment preservation, and informing citize ns’ well-being through ubiquitousair quality data. The main drawback of LCSs is that their data is usually biased, even if LCSs are calibratedby their manufac turer at production time.”
BolzanoItalyEuropeCyborgsEmergin g TechnologiesMachine LearningEURAC Research
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