Robotics & Machine Learning Daily News2024,Issue(Jun.17) :98-99.

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)

北京科技大学研究者描述的机器学习的新发现(基于皮肤传导的穴位和非穴位识别的机器学习)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :98-99.

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)

北京科技大学研究者描述的机器学习的新发现(基于皮肤传导的穴位和非穴位识别的机器学习)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在已经可用。根据NewsRx记者在北京的新闻报道,研究表明:“(APs)穴位对疾病的诊断和治疗有积极的作用,而自动检测APs的智能技术还不成熟,更多地依赖于人工定位,本文利用机器学习实现了基于皮肤电导的APs和非APs识别。这可以帮助临床实践中的APs检测和定位。

Abstract

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.”

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/University of Science and Technology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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