Robotics & Machine Learning Daily News2024,Issue(Mar.15) :19-20.

Studies from Chang'an University Yield New Data on Machine Learning (Enhanced Ro bust Capacity Estimation of Lithium-ion Batteries With Unlabeled Dataset and Sem i-supervised Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Mar.15) :19-20.

Studies from Chang'an University Yield New Data on Machine Learning (Enhanced Ro bust Capacity Estimation of Lithium-ion Batteries With Unlabeled Dataset and Sem i-supervised Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Shaanxi, Peo ple’s Republic of China, by NewsRx journalists, research stated, “The capacity e stimation is a crucial task in battery health and safety management. The majorit y existing capacity estimation methods heavily rely on supervised learning with accurately labelled dataset collected at room temperature.”

Key words

Shaanxi/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Chang’an University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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