首页|Ocean University of China Reports Findings in Machine Learning (Improving the de tection accuracy of the dual SERS aptasensor system with uncontrollable SERS 'ho t spot' using machine learning tools)
Ocean University of China Reports Findings in Machine Learning (Improving the de tection accuracy of the dual SERS aptasensor system with uncontrollable SERS 'ho t spot' using machine learning tools)
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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 originating from Shandong, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Simultaneous detecti on of food contaminants is crucial in addressing the collective health hazards a rising from the presence of multiple contaminants. However, traditional multi-co mpetitive surface-enhanced Raman scattering (SERS) aptasensors face difficulties in achieving simultaneous accurate detection of multiple target substances due to the uncontrollable SERS ‘hot spots’.”
ShandongPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
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