首页|Hebei University Reports Findings in Support Vector Machines (A MOF-on-MOF heter ostructure ratiometric/colorimetric dual-mode fluorescence sensor based on suppo rt vector machine for detecting tetracyclines in animal-derived foods)
Hebei University Reports Findings in Support Vector Machines (A MOF-on-MOF heter ostructure ratiometric/colorimetric dual-mode fluorescence sensor based on suppo rt vector machine for detecting tetracyclines in animal-derived foods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Support Vector Machine s is the subject of a report. Accordingto news reporting originating from Baodi ng, People’s Republic of China, by NewsRx correspondents,research stated, “The misuse of tetracyclines in livestock production poses significant health risks. Thus,establishing convenient detection methods to replace complex laboratory te sts for food safety is crucial.”
BaodingPeople’s Republic of ChinaAsi aAntibioticsAromatic Polycyclic HydrocarbonsEmerging TechnologiesHydroca rbonsMachine LearningNaphthacenesRisk and PreventionSupport Vector Machi nesTetracyclinesVector Machines
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