Burkhard Hoppenstedt

Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production Settings

Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss et al. · Sensors · 2019 · 60 citations · Full text

Anomaly Detection, Engineering, Measurement +25

Techniques and Emerging Trends for State of the Art Equipment Maintenance Systems—A Bibliometric Analysis

Burkhard Hoppenstedt, Rüdiger Pryss, Birgit Stelzer et al. · Applied Sciences · 2018 · 31 citations · Full text

Software Maintenance, Engineering, Industrial Engineering +25

Applicability of Immersive Analytics in Mixed Reality: Usability Study

Burkhard Hoppenstedt, Thomas Probst, Manfred Reichert et al. · IEEE Access · 2019 · 24 citations · Full text

Engineering, Smart Glasses, Movement Patterns +10

Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study

Rüdiger Pryss, Winfried Schlee, Burkhard Hoppenstedt et al. · Journal of Medical Internet Research · 2020 · 22 citations · Full text

Process-Driven and Flow-Based Processing of Industrial Sensor Data

Klaus Kammerer, Rüdiger Pryss, Burkhard Hoppenstedt et al. · Sensors · 2020 · 22 citations · Full text

Engineering, Industrial Engineering, Digital Manufacturing +21