IEEE

Fault Detection and Identification of Underwater Thruster Without Fault Sample Based on Adversarial Variational Autoencoder

Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...
IEEE

A Joint Analysis of Single-Cell Multi-Omics Clustering Based on Variational Autoencoder and Multimodal Fusion

Abstract: In recent years, single-cell multi-omics integrative analysis has faced challenges due to the sparsity and heterogeneity of multi-omics data, which affect clustering effectiveness. To ...
GitHub

Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.