Robotics & Machine Learning Daily News2024,Issue(Nov.26) :69-70.

Reports Summarize Machine Learning Study Results from State University (Predicti ve Modeling of Antioxidant Activity In syzygium Malaccense Leaf Extracts Using I mage Processing and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :69-70.

Reports Summarize Machine Learning Study Results from State University (Predicti ve Modeling of Antioxidant Activity In syzygium Malaccense Leaf Extracts Using I mage Processing and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Guarapuava, Braz il, by NewsRx journalists, research stated, “S. malaccense, fromthe Myrtaceae f amily, is used in traditional medicine and is rich in flavonoids and phenolic co mpounds.This study evaluated the antioxidant potential of S. malaccense leaf ex tracts and their fractions usingDPPH and ABTS radical scavenging assays, Ferric Reducing Antioxidant Power (FRAP), and total phenoliccontent.”

Key words

Guarapuava/Brazil/South America/Cybor gs/Emerging Technologies/Machine Learning/State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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