Autoencoder-based SCADA Telemetry Anomaly Detection This project implements an autoencoder-based anomaly detection system for SCADA (Supervisory Control and Data Acquisition) telemetry data. The ...

Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs’ roles in complex diseases, providing a theoretical basis for disease mechanisms.

The primary question we are trying to answer to is how can convolutional layers be integrated into autoencoder architectures to enhance anomaly detection in spacecraft telemetry data? In efforts to ...

Get Code Download Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many ...

The problem of quickest anomaly detection in networks with unlabeled samples is studied. At some unknown time, an anomaly emerges in the network and changes the data-generating distribution of some ...

It was also used for unsupervised sound anomaly detection to detect unknown abnormal sounds without abnormal sound training data (19). Recently, the autoencoder has been increasingly investigated in ...