首页|New Machine Learning Findings from Qingdao University Described (Triboelectric Nanogenerator Assisted By Machine Learning)
New Machine Learning Findings from Qingdao University Described (Triboelectric Nanogenerator Assisted By Machine Learning)
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NETL
NSTL
Amer Chemical Soc
Research findings on Machine Learning are discussed in a new report. According to news reporting out of Qingdao, People's Republic of China, by NewsRx editors, research stated, "In the era of the Internet of Things (IoT), the development of an intelligent sensor system with a sustainable power supply, convenient deployment, and versatile use has emerged as an urgent challenge. Triboelectric nanogenerators (TENGs) stand out as some of the most promising energy solutions in this context."
QingdaoPeople's Republic of ChinaAsiaCybersecurityCyborgsEmerging TechnologiesMachine LearningQingdao University
NETL
NSTL
Amer Chemical Soc
