首页|Studies from Southern Medical University Add New Findings in the Area of Machine Learning (Classification of Vaginal Cleanliness Grades Through Surface-enhanced Raman Spectral Analysis Via the Deep-learning Variational Autoencoder-long …)
Studies from Southern Medical University Add New Findings in the Area of Machine Learning (Classification of Vaginal Cleanliness Grades Through Surface-enhanced Raman Spectral Analysis Via the Deep-learning Variational Autoencoder-long …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Guangdong, Peo ple’s Republic of China, by NewsRx journalists, research stated,“In this study, it is aimed to establish a novel method based on a deep-learning-guided surface -enhancedRaman spectroscopy (SERS) technique to achieve rapid and accurate clas sification of vaginal cleanlinesslevels. We proposed a variational autoencoder (VAE) approach to enhance spectral quality, coupled witha deep learning algorit hm long short-term memory (LSTM) neural network to analyze SERS spectraproduced by vaginal secretions.”
GuangdongPeople’s Republic of ChinaA siaMachine LearningSouthern Medical University
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