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Application-specific transfer learning over edge networks
(2021-11-01)
Transfer learning uses a profound labeled set of data from the source domain to deal with a similar problem for the target domain. Transfer learning provides accurate decision- making when insufficient data samples are ...
Deep transfer-learning based lithium-ion battery fault diagnosis
(2022-08-01)
Fault detection in lithium-ion batteries (LiB) is paramount to ensuring the long life and proper functioning of the batteries. To that end, this thesis proposes a combined fault diagnosis framework that leverages voltage ...
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 ...