| Detection of knocking combustion using the continuous wavelet transformation and a convolutional neural network A Kefalas, AB Ofner, G Pirker, S Posch, BC Geiger, A Wimmer Energies 14 (2), 439, 2021 | 20 | 2021 |
| Knock detection in combustion engine time series using a theory-guided 1-D convolutional neural network approach AB Ofner, A Kefalas, S Posch, BC Geiger IEEE/ASME Transactions on Mechatronics 27 (5), 4101-4111, 2022 | 16 | 2022 |
| Estimation of combustion parameters from engine vibrations based on discrete wavelet transform and gradient boosting A Kefalas, AB Ofner, G Pirker, S Posch, BC Geiger, A Wimmer Sensors 22 (11), 4235, 2022 | 8 | 2022 |
| In-cylinder pressure reconstruction from engine block vibrations via a branched convolutional neural network AB Ofner, A Kefalas, S Posch, G Pirker, BC Geiger Mechanical Systems and Signal Processing 183, 109640, 2023 | 7 | 2023 |
| Development of a Virtual Sensor to Predict Cylinder Pressure Signal Based on a Knock Sensor Signal S Posch, G Pirker, A Kefalas, A Wimmer SAE Technical Paper, 2022 | 6 | 2022 |
| A Comparison of Virtual Sensors for Combustion Parameter Prediction of Gas Engines Based on Knock Sensor Signals A Kefalas, A Ofner, S Posch, G Pirker, C Gößnitzer, B Geiger, A Wimmer SAE Technical Paper, 2023 | 1 | 2023 |
