Now showing items 1-3 of 3
Rapid remaining-useful-life prediction of Li-ion batteries using image-based machine learning
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 ...
Magic Pen: automatic pen-mode switching for document annotation
Traditional digital pen interfaces use menu buttons to change pen modes, resulting in time and cognitive load spent on round-trips and potential errors from tapping small mode selection buttons. This thesis presents Magic ...
Deep transfer-learning based lithium-ion battery fault diagnosis
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 ...