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 …)

Robotics & Machine Learning Daily News2024，Issue(Jul.25) ：46-47.

来源：

NETL
NSTL

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

Abstract

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.”

Key words

Zurich/Switzerland/Europe/Cyborgs/Em erging Technologies/Gesture Recognition/Machine Learning/Swiss Federal Instit ute of Technology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航