首页|New Data from University of Florida Illuminate Findings in Machine Learning (Sur veillance of Pathogenic Bacteria On a Food Matrix Using Machine-learning-enabled Paper Chromogenic Arrays)
New Data from University of Florida Illuminate Findings in Machine Learning (Sur veillance of Pathogenic Bacteria On a Food Matrix Using Machine-learning-enabled Paper Chromogenic Arrays)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Gainesville, Florida, by News Rx correspondents, research stated, “Global food systems can benefit significant ly from continuous monitoring of microbial food safety, a task for which tedious operations, destructive sampling, and the inability to monitor multiple pathoge ns remain challenging. This study reports significant improvements to a paper ch romogenic array sensor - machine learning (PCA-ML) methodology sensing concentra tions of volatile organic compounds (VOCs) emitted on a speciesspecific basis by pathogens by streamlining dye selection, sensor fabrication, database construct ion, and machine learning and validation.”
GainesvilleFloridaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniver sity of Florida
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