Robotics & Machine Learning Daily News2024,Issue(MAY.21) :70-71.

Tiangong University Reports Findings in Machine Learning (Spectral fusion-based machine learning classifiers for discriminating membrane breakage in multiple sc enarios)

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :70-71.

Tiangong University Reports Findings in Machine Learning (Spectral fusion-based machine learning classifiers for discriminating membrane breakage in multiple sc enarios)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Tianjin, People’s Republ ic of China, by NewsRx journalists, research stated, “Membrane breakage can lead to filtration failure, which allows harmful substances to enter the effluent, p osing potential hazards to human health and the environment. This study is an in novative combination of fluorescence and ultraviolet-visible (UV-Vis) spectrosco py to identify membrane breakage.”

Key words

Tianjin/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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