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Mateusz Heesch
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Journal Articles
- 2023
- [j4]Michal Dziendzikowski
, Mateusz Heesch
, Jakub Górski
, Kamil Kowalczyk
, Krzysztof Dragan
, Ziemowit Dworakowski
:
A Method of Damage Detection Efficiency Enhancement of PZT Sensor Networks under Influence of Environmental and Operational Conditions. Sensors 23(1): 369 (2023) - 2022
- [j3]Jakub Górski
, Mateusz Heesch
, Michal Dziendzikowski
, Ziemowit Dworakowski
:
Fuzzy-Logic-Based Recommendation System for Processing in Condition Monitoring. Sensors 22(10): 3695 (2022) - [j2]Mateusz Heesch
, Michal Dziendzikowski
, Krzysztof Mendrok
, Ziemowit Dworakowski
:
Diagnostic-Quality Guided Wave Signals Synthesized Using Generative Adversarial Neural Networks. Sensors 22(10): 3848 (2022) - 2021
- [j1]Jakub Górski
, Adam Jablonski
, Mateusz Heesch
, Michal Dziendzikowski
, Ziemowit Dworakowski
:
Comparison of Novelty Detection Methods for Detection of Various Rotary Machinery Faults. Sensors 21(10): 3536 (2021)
Conference and Workshop Papers
- 2021
- [c2]Mateusz Heesch, Krzysztof Mendrok
, Ziemowit Dworakowski
:
Time-Domain Signal Synthesis with Style-Based Generative Adversarial Networks Applied to Guided Waves. ICAISC (1) 2021: 78-88 - 2019
- [c1]Mateusz Heesch
, Ziemowit Dworakowski
:
Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System. ICAISC (1) 2019: 102-112
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