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cs.LG2025
One-Class Domain Adaptation via Meta-Learning
Stephanie Holly, Thomas Bierweiler, Stefan von Dosky +3
The deployment of IoT (Internet of Things) sensor-based machine learning models in industrial systems for anomaly classification tasks poses significant challenges due to distribut…
cs.LG2024
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey
Alexandru Vasilache, Sven Nitzsche, Daniel Floegel +7
The advancements in smart sensors for Industry 4.0 offer ample opportunities for low-powered predictive maintenance and condition monitoring. However, traditional approaches in thi…
cs.LG2021
Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence
Jana Kemnitz, Thomas Bierweiler, Herbert Grieb +2
The increasing deployment of low-cost industrial IoT (IIoT) sensor platforms on industrial assets enables great opportunities for anomaly classification in industrial plants. The p…