Robotics & Machine Learning Daily News2024,Issue(Nov.5) :64-64.

Researchers from School of Mathematical and Computer Science Provide Details of New Studies and Findings in the Area of Machine Learning (Enhancing Battery Pack Safety Against Cone Impact Using Machine Learning Techniques and Gaussian Noise )

Robotics & Machine Learning Daily News2024,Issue(Nov.5) :64-64.

Researchers from School of Mathematical and Computer Science Provide Details of New Studies and Findings in the Area of Machine Learning (Enhancing Battery Pack Safety Against Cone Impact Using Machine Learning Techniques and Gaussian Noise )

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report.According to news reporting from Anhui, People’s Republic of China, by NewsRx journalists, research stated, “The increasing prevalence of electric vehicles underscores the need for enhanced battery pack safety, partic ularly against impacts that can lead to thermal runaway and fires.This study in vestigates the mechanical and thermal characteristics of battery packs subjected to cone impact on the lower part.”Financial supporters for this research include Wenzhou University of Technology, Al Rafidain University, King Saud University.

Key words

Anhui/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/School of Mathematical and Co mputer Science

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文