首页|New Findings from Sejong University Describe Advances in Machine Learning (Detec tion of physical hazards from fruit processed products using hyperspectral imagi ng and prediction based on PLS-DA and logistic regression machine learning model s)
New Findings from Sejong University Describe Advances in Machine Learning (Detec tion of physical hazards from fruit processed products using hyperspectral imagi ng and prediction based on PLS-DA and logistic regression machine learning model s)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on artificial intelligence is now available. According to news originatingfrom Seoul, South Korea, by New sRx editors, the research stated, “The current study aims to investigate apredi ction model from reflection values and the spectral angle mapper (SAM) obtained from hyperspectralimaging (HSI) technology for the detection of three types of foreign materials - a branch, a knife, andrubber - that are associated with the various fruit-processed products.”
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