This project demonstrates the implementation of a Variational Autoencoder (VAE) using TensorFlow and Keras on the MNIST dataset. The VAE is a generative model that learns to encode input data into a ...
Abstract: Ensuring the reliability and safety of industrial processes requires robust monitoring systems capable of detecting and diagnosing issues in complex, dynamic, and high-dimensional data ...
This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...
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