Robotics & Machine Learning Daily News2024,Issue(Jul.30) :51-52.

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)

Robotics & Machine Learning Daily News2024,Issue(Jul.30) :51-52.

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)

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Abstract

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.”

Key words

Changsha/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/State Key Laboratory of Po wder Metallurgy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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