首页|Findings from Swiss Federal Institute of Technology Update Knowledge of Machine Learning (High-performance Textile-based Capacitive Strain Sensors Via Enhanced Vapor Phase Polymerization of Pyrrole and Their Application To Machine …)
Findings from Swiss Federal Institute of Technology Update Knowledge of Machine Learning (High-performance Textile-based Capacitive Strain Sensors Via Enhanced Vapor Phase Polymerization of Pyrrole and Their Application To Machine …)
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 DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Zuri ch, Switzerland, by NewsRx correspondents, research stated, “Sensorsbased on ev eryday textiles are extremely promising for wearable applications. The present w ork focuseson high-performance textile-based capacitive strain sensors.”
ZurichSwitzerlandEuropeCyborgsEm erging TechnologiesGesture RecognitionMachine LearningSwiss Federal Instit ute of Technology
NETL
NSTL
