This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

Anomaly Detection Engine: Uses various unsupervised learning models (e.g., Isolation Forest, Autoencoder, DBSCAN) to detect anomalous behavior. API Backend: Flask-based REST API with routes for ...

Anomaly detection is an active area of computer vision and widely applied in diverse fields. As known, it is a considerable challenge to collect abnormalities in practice. To tackle it, researchers ...

Due to the difficulty in predefining novel attack patterns and the scarcity of sufficient malicious training samples in specialized Internet of Things (IoT) scenarios, the focus of IoT intrusion ...