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Mostrati risultati da 1 a 15 di 15
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.
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
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
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
Hybrid Model for Cavitation Noise Spectra Prediction 1-gen-2019 Cipollini, F.; Miglianti, L.; 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.
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.
Data driven models for propeller cavitation noise in model scale 1-gen-2019 Miglianti, F.; Tani, G.; Viviani, M.; Cipollini, F.; Oneto, L.
Simple continuous optimal regions of the space of data 1-gen-2019 Carrega, Alessandro; Cipollini, Francesca; 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.
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.
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
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.
Mostrati risultati da 1 a 15 di 15
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