首页|Investigators at China University of Petroleum (East China) Discuss Findings in Machine Learning (Machine-learning-assisted Wearable Pva/acrylic Fluorescent Layer-based Triboelectric Sensor for Motion, Gait and Individual Recognition)
Investigators at China University of Petroleum (East China) Discuss Findings in Machine Learning (Machine-learning-assisted Wearable Pva/acrylic Fluorescent Layer-based Triboelectric Sensor for Motion, Gait and Individual Recognition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingoriginating in Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “Flexiblesensors with precise perception ability play an important role in environmental sensing. The organic fusionbetween the sensitive structure and sensitive material presents some challenges for the overall design andintegration of the sensor, including designing multiple sensitive branch structures, simplifying system design,and sensing multiple stress modes.”
QingdaoPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChina University of Petroleum (East China)
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