Robotics & Machine Learning Daily News2024,Issue(Sep.4) :49-50.

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 …)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :49-50.

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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Abstract

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.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Fourth Military Medical Unive rsity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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