Furthermore, this method uses a residual neural network as its backbone, which introduced autoencoder module to obtain hidden space information during the reconstruction process. Also, we build a ...

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...

Industrial process data are usually affected by random and gross errors leading to deviation from the true value and violation of process constraints. Traditional data reconciliation methods rely on ...