首页|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)
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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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.”
GuarapuavaBrazilSouth AmericaCybor gsEmerging TechnologiesMachine LearningState University
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