41 citations
- Mercedes-Benz (Germany)DE5 papers
- University of OxfordGB5 papers
- California Institute of TechnologyUS3 papers
- University of ManchesterGB3 papers
- Baden-Wuerttemberg Cooperative State UniversityDE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Rhodes UniversityZA2 papers
- TH Bingen University of Applied SciencesDE2 papers
- University of FreiburgDE2 papers
- University of StuttgartDE2 papers
- Arizona State UniversityUS1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
4 papers · 1 filter
Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection
Kadir-Kaan Özer, René Ebeling, Markus Enzweiler
Multivariate time series anomalies often manifest as shifts in cross-channel dependencies rather than simple amplitude excursions. In autonomous driving, for instance, a steering c…
STREAM-VAE: Dual-Path Routing for Slow and Fast Dynamics in Vehicle Telemetry Anomaly Detection
Kadir-Kaan Özer, René Ebeling, Markus Enzweiler
Automotive telemetry data exhibits slow drifts and fast spikes, often within the same sequence, making reliable anomaly detection challenging. Standard reconstruction-based methods…
Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cycled Areas of Automotive Production
Cornelius Hake, Jonas Weigele, Frederik Reichert +1
The present study examines the effectiveness of applying Artificial Intelligence methods in an automotive production environment to predict unknown lead times in a non-cycle-contro…
Automated Machine Learning for Remaining Useful Life Predictions
Marc-André Zöller, Fabian Mauthe, Peter Zeiler +2
Being able to predict the remaining useful life (RUL) of an engineering system is an important task in prognostics and health management. Recently, data-driven approaches to RUL pr…