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Showing 2026 · cs.LGShow all
3 papers · 2 filters
cs.LG2026★ 1 cited
D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection
Ghazal Ghajari, Elaheh Ghajari, Ashutosh Ghimire +3
Anomaly detection is a fundamental component of intelligent systems with applications in healthcare, cybersecurity, smart grids, and IoT environments. Although conventional machine…
cs.LG2026
Fully Autonomous Z-Score-Based TinyML Anomaly Detection on Resource-Constrained MCUs Using Power Side-Channel Data
Abdulrahman Albaiz, Fathi Amsaad
This paper presents a fully autonomous Tiny Machine Learning (TinyML) Z-Score-based anomaly detection system deployed on a low-power microcontroller for real-time monitoring of app…
cs.LG2026
K-Means Based TinyML Anomaly Detection and Distributed Model Reuse via the Distributed Internet of Learning (DIoL)
Abdulrahman Albaiz, Fathi Amsaad
This paper presents a lightweight K-Means anomaly detection model and a distributed model-sharing workflow designed for resource-constrained microcontrollers (MCUs). Using real pow…