Gábor Princz - Research output - University of Applied Sciences Wiener Neustadt

Research activity per year

2 Conference contribution
2 Conference article
1 Chapter
1 Paper

2 results

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2024
Anomaly Detection in Binary Time Series Data: An unsupervised Machine Learning Approach for Condition Monitoring
Princz, G., Shaloo, M. & Erol, S., 2024, In: Procedia Computer Science. 232, p. 1065-1078 14 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
Flexible automation of quality inspection in parts assembly using CNN-based machine learning
Shaloo, M., Princz, G., Hörbe, R. & Erol, S., 2024, In: Procedia Computer Science. 232, p. 2921-2932 12 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access