Robotics & Machine Learning Daily News2024,Issue(Sep.19) :60-60.

Researchers from Chengdu University of Traditional Chinese Medicine Report on Fi ndings in Machine Learning (Machine Learning-assisted Colorimetric Sensor Array for Rapid Identification of Adulterated panax Notoginseng Powder)

Robotics & Machine Learning Daily News2024,Issue(Sep.19) :60-60.

Researchers from Chengdu University of Traditional Chinese Medicine Report on Fi ndings in Machine Learning (Machine Learning-assisted Colorimetric Sensor Array for Rapid Identification of Adulterated panax Notoginseng Powder)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Chengdu, Peopl e’s Republic of China, by NewsRx editors, research stated, “Panax notoginseng (P N) is a popular functional food worldwide, yet adulterated PN powders are preval ent in the commercial market. Herein, a method combining a low-cost colorimetric sensor array and machine learning is proposed to rapidly identify and quantify adulterated PN powder.” Funders for this research include National Natural Science Foundation of China ( NSFC), Xinglin Scholar Research Promo-tion Project of Chengdu University of Trad itional Chinese Medicine, Sichuan Province Science and Technology Activities Fun ding for Returned Overseas Scholars.

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines/Ve ctor Machines/Chengdu University of Traditional Chinese Medicine

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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