Robotics & Machine Learning Daily News2024,Issue(Jul.15) :80-80.

Chongqing University Reports Findings in Machine Learning (Twostep machine lear ning-assisted label-free surface-enhanced Raman spectroscopy for reliable predic tion of dissolved furfural in transformer oil)

Robotics & Machine Learning Daily News2024,Issue(Jul.15) :80-80.

Chongqing University Reports Findings in Machine Learning (Twostep machine lear ning-assisted label-free surface-enhanced Raman spectroscopy for reliable predic tion of dissolved furfural in transformer oil)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Chongqing, People’s Re public of China, by NewsRx correspondents, research stated,“Accurate detection of dissolved furfural in transformer oil is crucial for real-time monitoring of the agingstate of transformer oil-paper insulation. While label-free surface-en hanced Raman spectroscopy (SERS)has demonstrated high sensitivity for dissolved furfural in transformer oil, challenges persist due to poorsubstrate consisten cy and low quantitative reliability.”

Key words

Chongqing/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Particle Swarm Optimizati on

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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