In this study, autoencoder was used to diagnose Li-ion battery fault type. Battery experiments for abnormal and normal were conducted to construct dataset for detection safety of lithium-ion batteries ...

Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, ...

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...

This project implements an end-to-end solution for automatic image colorization using a U-Net autoencoder. The model takes grayscale images as input and generates realistic colorized versions while ...