| A supervised machine learning technique for combustion diagnosis using a vibration sensor signal B Pla, J De la Morena, P Bares, A Aramburu Fuel 343, 127869, 2023 | 4 | 2023 |
| Influencia de la turbulencia en las características aerodinámicas de perfiles de bajo Reynolds A Aramburu Orihuela, J Morales, S Algozino, J Marañón Di Leo Departamento Mecánica, 2016 | 4 | 2016 |
| Knock detection in spark ignited heavy duty engines: An application of machine learning techniques with various knock sensor locations A Aramburu, C Guido, P Bares, B Pla, P Napolitano, C Beatrice Measurement 224, 113860, 2024 | 2 | 2024 |
| An unsupervised machine learning technique to identify knock from a knock signal time-frequency analysis B Pla, J De la Morena, P Bares, A Aramburu Measurement 211, 112669, 2023 | 2 | 2023 |
| Optimal Sensor Placement for High Pressure and Low Pressure EGR Estimation JM Luján, B Pla Moreno, P Bares-Moreno, A Aramburu-Orihuela SAE Technical Papers, 1-11, 2021 | 2 | 2021 |
| Identification of Adequate Combustion in Turbulent Jet Ignition Engines using Machine Learning Algorithms R Novella, B Pla, P Bares, A Aramburu IFAC-PapersOnLine 54 (10), 102-107, 2021 | 2 | 2021 |
| Application of the singular value and pivoted QR decompositions to reduce experimental efforts in compressor characterization A Tiseira, B Pla, P Bares, A Aramburu Heliyon 8 (11), 2022 | 1 | 2022 |
