Studies from University of Kiel Add New Findings in the Area of Machine Learning (Small-sample-learning-based Lithium-ion Batteries Health Assessment: an Optimi zed Ensemble Framework)

Robotics & Machine Learning Daily News2024，Issue(Jul.24) ：53-54.

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Studies from University of Kiel Add New Findings in the Area of Machine Learning (Small-sample-learning-based Lithium-ion Batteries Health Assessment: an Optimi zed Ensemble Framework)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Kiel, Germany, by News Rx journalists, research stated, “Machine Learning is widely studiedin battery state of health (SOH) estimation due to its advantage in establishing the non-li near mappingbetween measurements and SOH. However, the requirement of a big dat aset and the lack of robustnesslimit the practical application, especially in s mall sample learning.”

Key words

Kiel/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning/University of Kiel

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出版年

2024

Robotics & Machine Learning Daily News

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