IEEE

Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems

Abstract: The majority of model-based learned image reconstruction methods in medical imaging have been limited to uniform domains, such as pixelated images. If the underlying model is solved on ...
IEEE

An Exponential Transformer for Learning Interpretable Temporal Information in Remaining Useful Life Prediction of Lithium-Ion Battery

Abstract: Accurately predicting the remaining useful life (RUL) of lithium-ion batteries (LIBs) is crucial for ensuring the safety and health maintenance of electric vehicles (EVs). Although ...