Abstract: Biological datasets, such as gene expression data ... This approach integrates fuzzy theory with autoencoder models to effectively manage noise and outliers in data. The FAE method ...

This project implements a Variational Autoencoder (VAE) in PyTorch, trained on the MNIST dataset. It features a Gradio web app for generating new digits and reconstructing uploaded digit images.

In all settings, SA-Radar’s synthetic data either matches or surpasses real data, and provides consistent gains when combined with real-world datasets. From left to right are the RGB image and the ...

Abstract: In this paper, we propose a novel fault detection method for multivariate industrial processes. The method is based on AutoEncoder. AutoEncoder is a single-hidden-layer neural network that ...