Author:
Bandyopadhyay Sankhyabrata,Fabian Matthias,Bremner James,Liu Xuan,Li Xiang,Li Kang,Sun Tong,Grattan Kenneth T V
Abstract
A data-driven regression model using Machine Learning (ML) coding has been developed to predict the state-of-the-charge of a battery based on a Fiber Bragg Grating-based sensor, achieving a supervised ML model accuracy of 99.95%.
Cited by
2 articles.
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