首页|Researchers from State Key Laboratory of Powder Metallurgy Report on Findings in Machine Learning (Hierarchically Piezoelectric Aerogels for Efficient Sound Abs orption and Machine-learningassisted Sensing)
Researchers from State Key Laboratory of Powder Metallurgy Report on Findings in Machine Learning (Hierarchically Piezoelectric Aerogels for Efficient Sound Abs orption and Machine-learningassisted Sensing)
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 – Investigators publish new report on Ma chine Learning. According to news originatingfrom Changsha, People’s Republic o f China, by NewsRx correspondents, research stated, “Ubiquitous noisepollution has been associated with significant negative impacts on human health. However, current poroussound-absorbing materials encounter considerable obstacles such a s thick density, narrow absorbing band,and limited function.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningState Key Laboratory of Po wder Metallurgy
NETL
NSTL
