首页|New Machine Learning Study Findings Reported from Southeast University (Highly S ensitive and Mechanically Stable Mxene Textile Sensors for Adaptive Smart Data G love Embedded With Nearsensor Edge Intelligence)
New Machine Learning Study Findings Reported from Southeast University (Highly S ensitive and Mechanically Stable Mxene Textile Sensors for Adaptive Smart Data G love Embedded With Nearsensor Edge Intelligence)
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-Research findings on Machine Learning are discussed in a new report. According to news reporting out of Nanjing, Peopl e's Republic of China, by NewsRx editors, research stated, "Smart data gloves ca pable of monitoring finger activities and inferring hand gestures are of signifi cance to humanmachine interfaces, robotics, healthcare, and Metaverse. Yet, mos t current smart data gloves present unstable mechanical contacts, limited sensit ivity, as well as offline training and updating of machine learning models, lead ing to uncomfortable wear and suboptimal performance during practical applicatio ns." Funders for this research include National Key R&D Program of China , National Natural Science Foundation of China (NSFC), Start-up Research Fund of Southeast University.
NanjingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSoutheast University
NETL
NSTL
