Robotics & Machine Learning Daily News2024,Issue(Jul.26) :63-63.

Study Results from Zhejiang A&F University Broaden Understanding of Machine Learning (Fusion of Laser-Induced Breakdown Spectroscopy@@and Raman Spec troscopy for Mineral Identification Based@@on Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jul.26) :63-63.

Study Results from Zhejiang A&F University Broaden Understanding of Machine Learning (Fusion of Laser-Induced Breakdown Spectroscopy@@and Raman Spec troscopy for Mineral Identification Based@@on Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Rapidan d reliable identification of mineral species is a challenging but crucial task w ith promising applicationprospects in mineralogy, metallurgy, and geology.”

Key words

Zhejiang A&F University/Ha ngzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Inorga nic Chemicals/Machine Learning/Minerals

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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