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Mateusz Heesch
ORCID
Publication Activity (10 Years)
Years Active: 2021-2022
Publications (10 Years): 7
Top Topics
Loop Mediated Isothermal Amplification
Machine Learning
Emergency Medical
Real Time Pcr
Top Venues
Sensors (Basel, Switzerland)
Materials (Basel, Switzerland)
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This page only lists publications with an associated author ORCID identifier.
Publications
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Mateusz Heesch
,
Michal Dziendzikowski
,
Krzysztof Mendrok
,
Ziemowit Dworakowski
Diagnostic-Quality Guided Wave Signals Synthesized Using Generative Adversarial Neural Networks.
Sensors (Basel, Switzerland)
22 (10) (2022)
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 (Basel, Switzerland)
23 (1) (2022)
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 (Basel, Switzerland)
23 (1) (2022)
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 (Basel, Switzerland)
23 (1) (2022)
Jakub Górski
,
Mateusz Heesch
,
Michal Dziendzikowski
,
Ziemowit Dworakowski
Fuzzy-Logic-Based Recommendation System for Processing in Condition Monitoring.
Sensors (Basel, Switzerland)
22 (10) (2022)
Michal Dziendzikowski
,
Mateusz Heesch
,
Jakub Górski
,
Krzysztof Dragan
,
Ziemowit Dworakowski
Application of PZT Ceramic Sensors for Composite Structure Monitoring Using Harmonic Excitation Signals and Bayesian Classification Approach.
Materials (Basel, Switzerland)
14 (19) (2021)
Jakub Górski
,
Adam Jabłoński
,
Mateusz Heesch
,
Michal Dziendzikowski
,
Ziemowit Dworakowski
Comparison of Novelty Detection Methods for Detection of Various Rotary Machinery Faults.
Sensors (Basel, Switzerland)
21 (10) (2021)