首页|Investigators at Shandong Normal University Report Findings in Machine Learning (A Strategy for Accurate Sers Gas Detection: Skillful Integration of Mass-produc tive Wafer-scale Sers Substrate and Machine Learning-assisted Multifeature Profi ling)
Investigators at Shandong Normal University Report Findings in Machine Learning (A Strategy for Accurate Sers Gas Detection: Skillful Integration of Mass-produc tive Wafer-scale Sers Substrate and Machine Learning-assisted Multifeature Profi ling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingin Shandong, People’s Republi c of China, by NewsRx journalists, research stated, “The highlysensitive and pr ecise detection of gaseous molecules continues to pose a significant challenge i n surfaceenhancedRaman scattering (SERS) to this day. To address this issue, a novel strategy is proposed here,which skillfully integrates mass-productive wa fer-scale particle-in-quasi cavity (PIQC) optical structure andmachine learning (ML)-assisted multifeature profiling method.”
ShandongPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShandong Normal University
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