Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System. - Mateusz Heesch; Ziemowit Dworakowski (ICAISC (1), 2019)

Time-Domain Signal Synthesis with Style-Based Generative Adversarial Networks Applied to Guided Waves. - Mateusz Heesch; Krzysztof Mendrok; Ziemowit Dworakowski (ICAISC (1), 2021)

Comparison of Novelty Detection Methods for Detection of Various Rotary Machinery Faults. - Jakub Górski; Adam Jablonski; Mateusz Heesch; Michal Dziendzikowski; Ziemowit Dworakowski (Sensors, 2021)

Fuzzy-Logic-Based Recommendation System for Processing in Condition Monitoring. - Jakub Górski; Mateusz Heesch; Michal Dziendzikowski; Ziemowit Dworakowski (Sensors, 2022)

Diagnostic-Quality Guided Wave Signals Synthesized Using Generative Adversarial Neural Networks. - Mateusz Heesch; Michal Dziendzikowski; Krzysztof Mendrok; Ziemowit Dworakowski (Sensors, 2022)

A Method of Damage Detection Efficiency Enhancement of PZT Sensor Networks under Influence of Environmental and Operational Conditions. - Michal Dziendzikowski; Mateusz Heesch; Jakub Górski; Kamil Kowalczyk 002; Krzysztof Dragan; Ziemowit Dworakowski (Sensors, 2023)