Actualités

GitHub1 a
Anomaly Detection Using LSTM-Autoencoder
The goal was to detect a partial overlap between peg and a hole in a ... The model used for this task was an LSTM Autoencoder. LSTM is a Neural Network capable of modeling short and long term ...
GitHub2 a
Achraf-Louiza/LSTM-AE-TS-anomaly-detection
This project is aimed at implementing an LSTM-based auto-encoder for anomaly detection in multivariate and potentially cyclic time-series data. The dataset used in this project is from the field of ...
IEEE2 a
LSTM-AE for Anomaly Detection on Multivariate Telemetry Data
Since streaming data has multivariate variables bearing dependencies ... using previous timesteps of sequence-shape data. The LSTM model is a valid option to apply to our data for offline anomaly ...
Oak Ridge National Lab1 a
Anomaly Detection in Connected and Autonomous Vehicle Trajectories Using LSTM Autoencoder and Gaussian Mixture Model
To address the issue, this study proposed an innovative anomaly detection algorithm, namely the LSTM Autoencoder with Gaussian Mixture Model (LAGMM). This model supports anomalous CAV trajectory ...