首页|Data on Machine Learning Described by Researchers at Fourth Military Medical Uni versity (New Insights Into Raw Milk Adulterated With Milk Powder Identification: Atr-ftir Spectroscopic Fingerprints Combined With Machine Learning and Feature …)
Data on Machine Learning Described by Researchers at Fourth Military Medical Uni versity (New Insights Into Raw Milk Adulterated With Milk Powder Identification: Atr-ftir Spectroscopic Fingerprints Combined With Machine Learning and Feature …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Xi’an, People’s Republic of China, by NewsRx editors, the research stated, “It is commonthat unscrupulou s merchants attempt to gain profits by raw milk adulterated with high-temperatur eprocessing and long storage time of milk powder, which damages consumer rights and interests. In thisstudy, we propose a practical, reagent-free and rapid me thod to identify raw milk adulterated with milkpowder using ATRFTIR spectra cou pled with machine learning-based approach.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningFourth Military Medical Unive rsity
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