Browsing Faculty of Engineering & Applied Science by Subject "Health prognostics prediction"
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Rapid remaining-useful-life prediction of Li-ion batteries using image-based machine learning
(2022-08-01)With the increased integration of lithium-ion batteries in our everyday lives, accurate and reliable battery management systems have become an imperative aspect of the well-being of our everyday electronics. This thesis ...