Robotics & Machine Learning Daily News2024,Issue(Jul.12) :23-24.

New Machine Learning Findings from EURAC Research Outlined (Minimized Training o f Machine Learning-based Calibration Methods for Low-cost O3 Sensors)

Robotics & Machine Learning Daily News2024,Issue(Jul.12) :23-24.

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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Abstract

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.”

Key words

Bolzano/Italy/Europe/Cyborgs/Emergin g Technologies/Machine Learning/EURAC Research

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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