Robotics & Machine Learning Daily News2024,Issue(Nov.13) :2-3.

Taiyuan University of Technology Reports Findings in Machine Learning (Self-Powe red Machine-Learning-Assisted Material Identification Enabled by a Thermogalvani c Dual-Network Hydrogel with a High Thermopower)

太原理工大学报告了机器学习的发现(通过具有高热功率的ThermoGalvaniC双网络水凝胶实现的自粉末红色机器学习辅助材料识别)

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :2-3.

Taiyuan University of Technology Reports Findings in Machine Learning (Self-Powe red Machine-Learning-Assisted Material Identification Enabled by a Thermogalvani c Dual-Network Hydrogel with a High Thermopower)

太原理工大学报告了机器学习的发现(通过具有高热功率的ThermoGalvaniC双网络水凝胶实现的自粉末红色机器学习辅助材料识别)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道研究称,NewsRx记者源于中华人民共和国太原的报道,“配备高性能灵活传感器的可穿戴设备,可以识别不同的物理环境无电池信息在各个领域发挥着不可或缺的作用。然而,以前的研究对柔性传感器的研究主要集中在弹性和温度传感能力上,很少有关于材料识别的报告"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Taiyuan, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Wearable devices equipped with high-performance flexible sensors that can identify diverse physi calinformation free from batteries are playing an indispensable role in various fields. However, previous studieson flexible sensors have primarily focused on their elasticity and temperature-sensing capability, with fewreports on materi al identification.”

Key words

Taiyuan/People’s Republic of China/Asi a/Alcohols/Cyborgs/Emerging Technologies/Hydrogel/Machine Learning/Organic Chemicals/Polyethylene Glycols

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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