首页|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)
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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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.”
ChongqingPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningParticle Swarm Optimizati on
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