首页|New Findings on Machine Learning Described by Investigators at University of Science and Technology Beijing (Skin Conductancebased Acupoint and Non-acupoint Recognition Using Machine Learning)
New Findings on Machine Learning Described by Investigators at University of Science and Technology Beijing (Skin Conductancebased Acupoint and Non-acupoint Recognition Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Beijing, People’s Republic of China , by NewsRx journalists, research stated, “Acupoints (APs) prove to have positive effects on disease diagnosis and treatment, while intelligent techniques for t he automatic detection of APs are not yet mature, making them more dependent on manual positioning. In this paper, we realize the skin conductance-based APs and non-APs recognition with machine learning, which could assist in APs detection and localization in clinical practice.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Science and Technology Beijing
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