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GitHub1 a
Anomaly Detection Using LSTM-Autoencoder - GitHub
The model used for this task was an LSTM Autoencoder. LSTM is a Neural Network capable of modeling short and long term dependanceies in data, therefore its use for time series data is justified. The ...
GitHub10 mois
vincrichard/LSTM-AutoEncoder-Unsupervised-Anomaly-Detection: University Project for Anomaly Detection on Time Series data - GitHub
LSTM AutoEncoder for Anomaly Detection The repository contains my code for a university project base on anomaly detection for time series data. The data set is provided by the Airbus and consistst of ...
IEEE1 a
Autoencoder-LSTM Algorithm for Anomaly Detection - IEEE Xplore
Autoencoder (AE) base architecture has been chosen to leverage its dimension reduction capabilities for relevant feature extraction. Our proposed scheme results show a considerable improvement from ...
Oak Ridge National Lab1 a
Anomaly Detection in Connected and Autonomous Vehicle Trajectories Using LSTM Autoencoder and Gaussian Mixture Model | ORNL - Oak Ridge National Laboratory
To address the issue, this study proposed an innovative anomaly detection algorithm, namely the LSTM Autoencoder with Gaussian Mixture Model (LAGMM). Although these new technologies have many ...