首页|New Findings on Support Vector Machines from Jiangsu University Summarized (Quan titative Analysis of Zearalenone In Wheat Leveraging Support Vector Machine and Olfactory Visualization Technology)
New Findings on Support Vector Machines from Jiangsu University Summarized (Quan titative Analysis of Zearalenone In Wheat Leveraging Support Vector Machine and Olfactory Visualization Technology)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Support Vector Machines is now available.According to news reporting from Zhenjiang, People’s Republic of China, by NewsRx journalists, research stated, “Zearalenone (ZEN) is a conta minant found naturally in grains such as wheat that poses a potential threat to human and animal health.This study describes a colorimetric sensor array detect ion system based on chemically reactive dyes and chemometric algorithms for the determination of ZEN in wheat.”
ZhenjiangPeople’s Republic of ChinaA siaBiological FactorsEmerging TechnologiesLactonesMachine LearningMyco toxinsResorcinolsSupport Vector MachinesTechnologyVector MachinesZeara lenoneJiangsu University
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