首页|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 )
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 )
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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.
AnhuiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSchool of Mathematical and Co mputer Science
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