Sfoglia per Autore
Marine safety and data analytics: Vessel crash stop maneuvering performance prediction
2017-01-01 Oneto, L.; Coraddu, A.; Sanetti, Paolo; Karpenko, O.; Cipollini, F.; Cleophas, T.; Anguita, D.
Randomized learning: Generalization performance of old and new theoretically grounded algorithms
2018-01-01 Oneto, Luca; Cipollini, Francesca; Ridella, Sandro; Anguita, Davide
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback
2018-01-01 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis
2018-01-01 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents
2018-01-01 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Savio, Stefano; Anguita, Davide
Model scale cavitation noise spectra prediction: Combining physical knowledge with data science
2019-01-01 Miglianti, F.; Cipollini, F.; Oneto, L.; Tani, G.; Viviani, M.
Cavitation Noise Spectra Prediction with Hybrid Models
2019-01-01 Cipollini, F.; Miglianti, F.; Oneto, L.; Tani, G.; Viviani, M.; Anguita, D.
Hybrid Model for Cavitation Noise Spectra Prediction
2019-01-01 Cipollini, F.; Miglianti, L.; Oneto, L.; Tani, G.; Viviani, M.
Data driven models for propeller cavitation noise in model scale
2019-01-01 Miglianti, F.; Tani, G.; Viviani, M.; Cipollini, F.; Oneto, L.
Data-driven ship digital twin for estimating the speed loss caused by the marine fouling
2019-01-01 Coraddu, A.; Oneto, L.; Baldi, F.; Cipollini, F.; Atlar, M.; Savio, S.
Simple continuous optimal regions of the space of data
2019-01-01 Carrega, Alessandro; Cipollini, Francesca; Oneto, L.
Predicting the cavitating marine propeller noise at design stage: A deep learning based approach
2020-01-01 Miglianti, Leonardo; Cipollini, Francesca; Oneto, Luca; Tani, Giorgio; Gaggero, Stefano; Coraddu, Andrea; Viviani, Michele
Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage
2020-01-01 Oneto, L.; Cipollini, F.; Miglianti, L.; Tani, G.; Gaggero, S.; Viviani, M.; Coraddu, A.
Data-Driven and Hybrid Methods for Naval Applications
2020-01-15 Cipollini, Francesca
Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions
2021-01-01 Coraddu, A.; Oneto, L.; Cipollini, F.; Kalikatzarakis, M.; Meijn, G. -J.; Geertsma, R.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Marine safety and data analytics: Vessel crash stop maneuvering performance prediction | 1-gen-2017 | Oneto, L.; Coraddu, A.; Sanetti, Paolo; Karpenko, O.; Cipollini, F.; Cleophas, T.; Anguita, D. | |
| Randomized learning: Generalization performance of old and new theoretically grounded algorithms | 1-gen-2018 | Oneto, Luca; Cipollini, Francesca; Ridella, Sandro; Anguita, Davide | |
| Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback | 1-gen-2018 | Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide | |
| Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis | 1-gen-2018 | Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide | |
| Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents | 1-gen-2018 | Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Savio, Stefano; Anguita, Davide | |
| Model scale cavitation noise spectra prediction: Combining physical knowledge with data science | 1-gen-2019 | Miglianti, F.; Cipollini, F.; Oneto, L.; Tani, G.; Viviani, M. | |
| Cavitation Noise Spectra Prediction with Hybrid Models | 1-gen-2019 | Cipollini, F.; Miglianti, F.; Oneto, L.; Tani, G.; Viviani, M.; Anguita, D. | |
| Hybrid Model for Cavitation Noise Spectra Prediction | 1-gen-2019 | Cipollini, F.; Miglianti, L.; Oneto, L.; Tani, G.; Viviani, M. | |
| Data driven models for propeller cavitation noise in model scale | 1-gen-2019 | Miglianti, F.; Tani, G.; Viviani, M.; Cipollini, F.; Oneto, L. | |
| Data-driven ship digital twin for estimating the speed loss caused by the marine fouling | 1-gen-2019 | Coraddu, A.; Oneto, L.; Baldi, F.; Cipollini, F.; Atlar, M.; Savio, S. | |
| Simple continuous optimal regions of the space of data | 1-gen-2019 | Carrega, Alessandro; Cipollini, Francesca; Oneto, L. | |
| Predicting the cavitating marine propeller noise at design stage: A deep learning based approach | 1-gen-2020 | Miglianti, Leonardo; Cipollini, Francesca; Oneto, Luca; Tani, Giorgio; Gaggero, Stefano; Coraddu, Andrea; Viviani, Michele | |
| Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage | 1-gen-2020 | Oneto, L.; Cipollini, F.; Miglianti, L.; Tani, G.; Gaggero, S.; Viviani, M.; Coraddu, A. | |
| Data-Driven and Hybrid Methods for Naval Applications | 15-gen-2020 | Cipollini, Francesca | |
| Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions | 1-gen-2021 | Coraddu, A.; Oneto, L.; Cipollini, F.; Kalikatzarakis, M.; Meijn, G. -J.; Geertsma, R. |
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