In this study the applicability of autoencoder-based deep neural networks to solve fault classification problems using vibration signals. This work will aim to construct CNN and LSTM type ...

autoencoder_anomaly_detection.py: Main script that generates synthetic data, preprocesses it, builds and trains the autoencoder model, and evaluates its performance.

This repository presents an implementation of a Variational Autoencoder (VAE) tailored for the generation and analysis of protein structures. The documentation provided here outlines the conceptual ...

Convolutional Neural Network,Android Application,Android Programming,Annual Turnover,Attribute Values,Autoencoder Model,Autoencoder Network,Auxiliary Function,Bag-of-words,Bidirectional Long ...

The diagram in Figure 2 illustrates a neural autoencoder. The autoencoder has the same number of inputs and outputs (9) as the demo program, but for simplicity the illustrated autoencoder has ...