Robotics & Machine Learning Daily News2024,Issue(Mar.20) :47-48.

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)

Robotics & Machine Learning Daily News2024,Issue(Mar.20) :47-48.

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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Abstract

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.”

Key words

Gainesville/Florida/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Univer sity of Florida

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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