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Record #67990

Enhancing battery pack safety against cone impact using machine learning techniques and Gaussian noise

Publisher
Elsevier
Original paper date
Sep 5, 2024
Institution
School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, Zhejiang 325035, China · School of Mathematics and Computer Science, Tongling University, Tongling, Anhui 244061, China · Air Conditioning and Refrigeration Techniques Engineering Department, College of Engineering and Technologies, Al-Mustaqbal University, Hillah, Babylon 51001, Iraq · Al -Mustaqbal Center for Energy Research, Al-Mustaqbal University, Babylon 51001, Iraq · Faculty of Engineering, Warith Al-Anbiyaa University, Karbala 56001, Iraq · Al-Amarah University College, Engineering of Technical Mechanical Power Department, Maysan, Iraq · Automotive and Tractors Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt · Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia · GUST Engineering and Applied Innovation Research Center (GEAR), Gulf University for Science and Technology, Mishref, Kuwait · Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Open access
No
Article type
Research Article
Broad categories
(B/T) Data Science(PHY) Engineering - Structural(PHY) Physics
Notes from Retraction Watch

date of retraction unknown, html overwrite, date taken from modification date on pdf;

Citation lifecycle

How this paper is being cited

Pre-retraction
5
Same day
0
Post-retraction
4
% post-retraction
44.4%
~5.7 citations/yr before retraction · ~3.5 citations/yr after
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