DI DI Dr. Bernhard Heinzl

Senior Researcher Data Science

Publikationen

2022
Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study

Heinzl, B., Hinterreiter, C., Roßbory, M., & Hinterdorfer, C. (2022). Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study. Database and Expert Systems Applications - DEXA 2022 Workshops, 90–99.
Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing

Hoch, T., Heinzl, B., Czech, G., Khan, M., Waibel, P., Bachhofner, S., Kiesling, E., & Moser, B. A. (2022). Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing. International Conference on Interoperability for Enterprise Systems and Applications (I-ESA)
2021
Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications

Heinzl, B., Martinez-Gil, J., Himmelbauer, J., Rosbory, M., Hinterdorfer, C., & Hinterreiter, C. (2021). Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications. 2021 IEEE 19th International Conference on Industrial Informatics (INDIN).