Project Details
| Status | Finished |
|---|---|
| Effective start/end date | 01.10.2015 → 30.09.2018 |
Fields of science
- 101013 Mathematical logic
- 101024 Probability theory
- 202027 Mechatronics
- 102019 Machine learning
- 603109 Logic
- 101 Mathematics
- 102001 Artificial intelligence
- 102003 Image processing
- 101027 Dynamical systems
- 102023 Supercomputing
- 101004 Biomathematics
- 101014 Numerical mathematics
- 102035 Data science
- 101028 Mathematical modelling
- 102009 Computer simulation
- 206003 Medical physics
- 206001 Biomedical engineering
- 101020 Technical mathematics
JKU Focus areas
- Digital Transformation
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On-line Anomaly Detection with Advanced Independent Component Analysis of Multi-Variate Residual Signals from Causal Relation Networks
Lughofer, E., Zavoianu, C., Pollak, R., Pratama, M., Meyer-Heye, P., Zörrer, H., Eitzinger, C. & Radauer, T., Oct 2020, In: Information Sciences. 537, p. 425-451 27 p.Research output: Contribution to journal › Article › peer-review
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Automated Process Optimization in Manufacturing Systems based on Static and Dynamic Prediction Models
Lughofer, E., Zavoianu, C., Pratama, M. & Radauer, T., 2019, Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications. Edwin Lughofer and Moamar Sayed-Mouchaweh (ed.). New York: Springer, p. 485-531 47 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Autonomous Supervision and Optimization of Product Quality in a Multi-Stage Manufacturing Process based on Self-Adaptive Prediction Models
Lughofer, E., Zavoianu, C., Pollak, R., Pratama, M., Meyer-Heye, P., Zörrer, H., Eitzinger, C. & Radauer, T., Apr 2019, In: Journal of Process Control. 76, p. 27-45 19 p.Research output: Contribution to journal › Article › peer-review
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Self-Adaptive Forecast Models in Predictive Maintenance Systems
Lughofer, E. (Speaker)
20 Sept 2018Activity: Talk or presentation › Invited talk › science-to-science
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Multi-Objective Knowledge-Based Strategy for Process Parameter Optimization in Micro-Fluidic Chip Production
Zavoianu, C. (Speaker)
29 Nov 2017Activity: Talk or presentation › Contributed talk › science-to-science
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Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production
Lughofer, E. (Speaker)
21 Jun 2017Activity: Talk or presentation › Contributed talk › science-to-science