IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

Abstract: In this article, we propose an anomaly detection model based on extended isolation forest (EIF) and denoising autoencoder (DA), which achieves unsupervised anomaly detection with good ...
GitHub

Wanghley/parkinsons-imu-denoising

The model minimizes the mean-squared reconstruction loss: L(θ) = E[‖x − f_θ(x_noisy)‖²] Beyond basic denoising, the project systematically studies how architectural choices (FC vs. CNN vs. LSTM), ...