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The project is funded by the National Science Centre (NCN) under the PRELUDIUM 23 call.
The main objective of the project is to develop novel algorithms for detection, classification, and compensation of measurement sensor faults based on deep learning methods. Additionally, the project assumes the implementation of state variable estimators using deep neural networks.
Principal Investigator: MSc Eng. Kamila Jankowska
Supervisor: Prof. Mateusz Dybkowski, DSc Eng.