IEEE

Variable Speed Bearing Anomaly Detection via Order Tracking and Cascaded Memory-Augmented Autoencoder

Abstract: Bearings are essential and crucial components of rotating machinery. Bearing faults can jeopardize the safe operation of mechanical equipment and diminish production efficiency. Anomaly ...
GitHub

SVG: Latent Diffusion Model without Variational Autoencoder

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
IEEE

Soft Sensing of Key Variables Based on Dual-Enhanced Parallel Autoencoder Model

Abstract: Recently, data-driven soft sensing technology has been widely used in industrial processes, where autoencoder are used to extract deep features, which play an important role in predicting ...
GitHub

Project 1: Design of an Improved Model for Music Sequence Generation Using Conditional Variational Autoencoder and Conditional GAN

You can use any of our models with torch.hub.load. We provide 2 classes of models for each of our 3 submodels of the CVAE-WGAN architecture cvae-wgan submodels: - CVAE: Conditional Variational ...