Robotics & Machine Learning Daily News2024,Issue(Jun.13) :21-21.

Kookmin University Researcher Adds New Data to Research in Machine Learning (Rapid Estimation of Static Capacity Based on Machine Learning: A Time-Efficient App roach)

韩国国民大学研究员为机器学习的研究增加了新的数据(基于机器学习的静态能力快速估计:一种高效的应用程序蟑螂)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :21-21.

Kookmin University Researcher Adds New Data to Research in Machine Learning (Rapid Estimation of Static Capacity Based on Machine Learning: A Time-Efficient App roach)

韩国国民大学研究员为机器学习的研究增加了新的数据(基于机器学习的静态能力快速估计:一种高效的应用程序蟑螂)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx编辑来自南科雷亚首尔的新闻,该研究指出,"随着全球电动汽车(EV)部署的激增,在加强环境法规和EFFOR TS以减少与运输有关的温室气体排放的推动下,管理锂离子电池的生命周期变得比以往任何时候都更加关键。"

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Seoul, South K orea, by NewsRx editors, the research stated, “With the global surge in electric vehicle (EV) deployment, driven by enhanced environmental regulations and effor ts to reduce transportation-related greenhouse gas emissions, managing the life cycle of Li-ion batteries becomes more critical than ever.”

Key words

Kookmin University/Seoul/South Korea/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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