Search
Now showing items 1-4 of 4
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 ...
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 ...
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 ...
Test case prioritization using transfer learning in continuous integration environments
(2023-04-01)
Continuous integration (CI) systems use automated tests to verify software builds and optimize the testing process through test case prioritization (TCP). Recent research studies on TCP in CI environments have employed ...