| Kalman-based load identification and full-field estimation analysis on industrial test case R Cumbo, T Tamarozzi, K Janssens, W Desmet Mechanical Systems and Signal Processing 117, 771-785, 2019 | 64 | 2019 |
| Advanced optimal sensor placement for Kalman-based multiple-input estimation R Cumbo, L Mazzanti, T Tamarozzi, P Jiranek, W Desmet, F Naets Mechanical Systems and Signal Processing 160, 107830, 2021 | 33 | 2021 |
| Design allowables of composite laminates: A review R Cumbo, A Baroni, A Ricciardi, S Corvaglia Journal of Composite Materials 56 (23), 3617-3634, 2022 | 10 | 2022 |
| Kalman-Based virtual sensing for improvement of service response replication in environmental tests S Vettori, ED Lorenzo, R Cumbo, U Musella, T Tamarozzi, B Peeters, ... Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 9 | 2020 |
| State and force estimation on a rotating helicopter blade through a Kalman-based approach. R Cumbo, T Tamarozzi, P Jiranek, W Desmet, P Masarati https://doi.org/10.3390/s20154196 20 (15), 4196, 2020 | 5 | 2020 |
| An improved optimal sensor placement strategy for Kalman-based multiple-input estimation L Mazzanti, R Cumbo, W Desmet, F Naets, T Tamarozzi Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 2 | 2020 |
| Structural shape reconstruction of non-linear systems via Variational Autoencoders. R Cumbo, R Morelli, A Kumar, A Nicolosi Ital-IA, 31-36, 2023 | 1 | 2023 |
| Virtual sensing strategies utilizing various model complexities: Industrial applications B Cornelis, B Forrier, R Cumbo, E Risaliti, K Janssens, T Tamarozzi, ... Commercial Vehicle Technology 2020/2021: Proceedings of the 6th Commercial …, 2021 | 1 | 2021 |
| System Identification Via Auto-Encoders: A Comparison Between Data-Driven and Physics-Informed Solutions R CUMBO, R MORELLI, A NICOLOSI, A KUMAR STRUCTURAL HEALTH MONITORING 2023, 2023 | | 2023 |
| Experimental Investigation on Fracture Toughness of Open Hole Coupons Under Tension Load R Cumbo, A Baroni International Symposium on Dynamic Response and Failure of Composite …, 2022 | | 2022 |
| Gaussian Process Regression for the prediction of material allowable SG Cumbo, R., Baroni, A., Kumar, A., Nicolosi, A., & Corvaglia 20th European Conference on Composite Materials, ECCM20., 2022 | | 2022 |
| Bayesian Machine Learning for faster design of composite structures. SG Cumbo, R., Baroni, A., Kumar, A., Nicolosi, A., & Corvaglia 73rd International Astronautical Congress (IAC), 2022 | | 2022 |
| Blade Load Reconstruction from Embedded Strain Measurements C Talamo, P Bettini, D Rigamonti, P Masarati, R Cumbo, D De Gregoriis 78th International Annual Forum Vertical Flight Society, 1-7, 2022 | | 2022 |
| Virtual Sensing Application Cases Exploiting Various Degrees of Model Complexity K Janssens, B Forrier, R Cumbo, E Risaliti, B Cornelis, T Tamarozzi, ... Vibration Engineering for a Sustainable Future: Active and Passive Noise and …, 2021 | | 2021 |
| A Kalman-based identification approach for distributed aerodynamic loads on a rotating blade R Cumbo, T Tamarozzi, W Desmet, P Masarati 46th European Rotorcraft Forum (ERF 2020), 24-33, 2020 | | 2020 |
| A recursive coupling-decoupling approach to improve experimental frequency based substructuring results R Cumbo, S Manzato, G Coppotelli, A Fregolent, W D’Ambrogio Dynamics of Coupled Structures, Volume 4: Proceedings of the 35th IMAC, A …, 2017 | | 2017 |
