首页|New Findings Reported from Nanyang Institute of Technology Describe Advances in Machine Learning (Identification of Liquor Adulteration Based On Machine Learning and Electrochemical Sensor)
New Findings Reported from Nanyang Institute of Technology Describe Advances in Machine Learning (Identification of Liquor Adulteration Based On Machine Learning and Electrochemical Sensor)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 reporting from Nanyang, People’s Republic of China, by NewsRx journalists, research stated, “This study introduces a novel app roach to detecting liquor adulteration using machine learning algorithms in conj unction with electrochemical sensors. The multi-frequency large-amplitude pulse voltammetric method was used to evaluate six types of liquors (L-50, L-60, L-70, L-80, L-90, L-100) using different metal electrodes at varying frequency segmen ts.”
NanyangPeople’s Republic of ChinaAsiaChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine LearningNanyang Institute of Technology
NETL
NSTL
