Archivio Istituzionale della RicercaCANAVERO, Flavio
CANAVERO, Flavio
Dipartimento di Elettronica e Telecomunicazioni
Canavero, Flavio G.; Canavero, Flavio
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Risultati 1 - 20 di 264 (tempo di esecuzione: 0.036 secondi).
Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression
2023 Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio
Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact
2022 Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links
2022 Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio
Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters
2021 Sedaghat, Mostafa; Trinchero, Riccardo; Canavero, Flavio
Application of Different Learning Methods for the Modelling of Microstrip Characteristics
2020 Soleimani, N.; Trinchero, R.; Canavero, F.
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems
2020 Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.
Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels
2020 Trinchero, R.; Stievano, I. S.; Canavero, F.
Progress on the development of innovative, floating, biodegradable radio-probes for atmospheric monitoring inside warm clouds
2020 Paredes, Miryam; Abdunabiev, Shahbozbek; Allegretti, Marco; Perona, Giovanni; Tordella, Daniela; Pasero, Eros; Canavero, Flavio; Merlone, Andrea; Musacchio, Chiara
Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices
2020 Trinchero, Riccardo; Canavero, Flavio
Advances on the development of innovative, floating, disposable radioprobes for atmospheric monitoring in warm clouds
2019 Paredes, Quintanilla; Allegretti, M.; Perona, G.; Tordella, D.; Pasero, E.; Bertoldo, S.; Merlone, A.; Musacchio, C.; Canavero, F.
Design of high-speed links via a machine learning surrogate model for the inverse problem
2019 Trinchero, R.; Dolatsara, M. A.; Roy, K.; Swaminathan, M.; Canavero, F.
Innovative, mini, biodegradable radiosondes to track small-scale fluctuations in warm cloud and clear air environments
2019 Abdunabiev, Shahbozbek; Basso Tessa, C.; Tordella, Daniela; Paredes, Miryam; Pasero, Eros; Canavero, Flavio
Machine Learning for the Design of a Distribution Network for High-Speed Signals
2019 Trinchero, R.; Canavero, F. G.
Probabilistic Model of the Effect of a Ground Discontinuity on the Transmission of a Microstrip Interconnect
2019 Trinchero, R.; Canavero, F. G.
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by means of a Machine Learning Model Coupled with Kriging Regression
2019 Trinchero, R.; Larbi, M.; Swaminathan, Madhavan; Canavero, F. G.
Topological modelling and simulation of gas networks for multi-energy applications
2019 Vaccariello, E.; Leone, P.; Canavero, F. G.; Stievano, I. S.
Validation of a Physical-Based Model for a Spacewire Cable
2019 Treviso, Felipe; Trinchero, R.; Canavero, F. G.
Design of Passive Equalizer for Space Wire Links via Support Vector Machine
2018 Trinchero, R.; Canavero, F. G.
Fast and Accurate Modeling Methodology Using Passive Macromodeling Techniques
2018 Toure, Mohamed; Grivet-Talocia, Stefano; Canavero, Flavio G.; Robert, Florent; Paladian, Francoise; Bensetti, Mohamed; Dufour, Laurent
Modeling of eye diagram height in high-speed links via support vector machine
2018 Trinchero, R.; Canavero, F. G.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression / Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2023). (Intervento presentato al convegno 21ème Colloque International et Exposition sur la Compatibilité ÉlectroMagnétique (CEM 2023) tenutosi a Toulouse, France nel 13-15 juin 2023). | 1-gen-2023 | Soleimani, NastaranTrinchero, RiccardoCanavero, Flavio | CEM2023_NoisyMO_KRR.pdf |
| Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact / Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) tenutosi a Gran Canaria, Spain nel 30 May 2022 - 04 June 2022) [10.23919/AT-AP-RASC54737.2022.9814426]. | 1-gen-2022 | Treviso, FelipeTrinchero, RiccardoCanavero, Flavio G. | YSASummaryTrevisoFelipe.pdf; Treviso-MachineLearning.pdf |
| Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links / Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno 2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) tenutosi a Limoges, France nel 06-08 July 2022) [10.1109/NEMO51452.2022.10038963]. | 1-gen-2022 | Soleimani, NastaranTrinchero, RiccardoCanavero, Flavio | Soleimani_NEMO2022_FINAL.pdf; Vector-Valued_Kernel_Ridge_Regression_for_the_Modeling_of_High-Speed_Links.pdf |
| Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters / Sedaghat, Mostafa; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2021). (Intervento presentato al convegno MTT-S International Microwave Symposium (IMS) tenutosi a Atlanta, GA, USA nel 7-25 June 2021) [10.1109/IMS19712.2021.9574884]. | 1-gen-2021 | Mostafa, SedaghatRiccardo, TrincheroFlavio, Canavero | IMS2021_Mostafa Sedaghat.pdf; Sedaghat-Compressed.pdf |
| Application of Different Learning Methods for the Modelling of Microstrip Characteristics / Soleimani, N.; Trinchero, R.; Canavero, F.. - 2020-:(2020), pp. 1-3. (Intervento presentato al convegno 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020 tenutosi a chn nel 2020) [10.1109/EDAPS50281.2020.9312887]. | 1-gen-2020 | Soleimani N.Trinchero R.Canavero F. | EDAPS20_Soleimani.pdf; 09312887.pdf |
| Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems / Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.. - ELETTRONICO. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science tenutosi a Rome, Italy nel 29 Aug.-5 Sept. 2020) [10.23919/URSIGASS49373.2020.9232325]. | 1-gen-2020 | Treviso, FelipeTrinchero, RiccardoCanavero, Flavio G. | Treviso2020-machine learning id delay.pdf; Treviso-Machine.pdf |
| Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels / Trinchero, R.; Stievano, I. S.; Canavero, F.. - ELETTRONICO. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020 tenutosi a ita nel 2020) [10.1109/EMCEUROPE48519.2020.9245759]. | 1-gen-2020 | Trinchero R.Stievano I. S.Canavero F. | 09245759.pdf; PID6443239.pdf |
| Progress on the development of innovative, floating, biodegradable radio-probes for atmospheric monitoring inside warm clouds / Paredes, Miryam; Abdunabiev, Shahbozbek; Allegretti, Marco; Perona, Giovanni; Tordella, Daniela; Pasero, Eros; Canavero, Flavio; Merlone, Andrea; Musacchio, Chiara. - (2020). (Intervento presentato al convegno EGU General Assembly 2020 tenutosi a Vienna, Austria nel 4-8 May, 2020) [10.5194/egusphere-egu2020-22374]. | 1-gen-2020 | Paredes, MiryamAbdunabiev, ShahbozbekAllegretti, MarcoPerona, GiovanniTordella, DanielaPasero, ErosCanavero, FlavioMerlone, AndreaMusacchio, Chiara | EGU2020-22374-print.pdf |
| Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices / Trinchero, Riccardo; Canavero, Flavio. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 3:(2020), p. 3. (Intervento presentato al convegno 1st International Electronic Conference - Futuristic Applications on Electronics session nel 01/11/2020 - 30/11/2020) [10.3390/iec2020-06967]. | 1-gen-2020 | Riccardo TrincheroFlavio Canavero | Trinchero_IEC2020_GP+AL_approved.pdf; manuscript.pdf |
| Advances on the development of innovative, floating, disposable radioprobes for atmospheric monitoring in warm clouds / Paredes, Quintanilla; Allegretti, M.; Perona, G.; Tordella, D.; Pasero, E.; Bertoldo, S.; Merlone, A.; Musacchio, C.; Canavero, F.. - (2019). (Intervento presentato al convegno American Geophysical Union Fall Meeting 2019 tenutosi a San Francisco (USA) nel 9 - 13 December 2019). | 1-gen-2019 | paredes quintanillaM. AllegrettiG. PeronaD. TordellaE. PaseroS. BertoldoF. Canavero + | Abstract_AGU_v5.0_Subm_Authors_POLITO.pdf |
| Design of high-speed links via a machine learning surrogate model for the inverse problem / Trinchero, R.; Dolatsara, M. A.; Roy, K.; Swaminathan, M.; Canavero, F.. - (2019), pp. 1-3. (Intervento presentato al convegno 2019 Electrical Design of Advanced Packaging and Systems Symposium, EDAPS 2019 tenutosi a Taiwan nel 2019) [10.1109/EDAPS47854.2019.9011627]. | 1-gen-2019 | Trinchero R.Canavero F. + | 09011627.pdf; PID6225283.pdf |
| Innovative, mini, biodegradable radiosondes to track small-scale fluctuations in warm cloud and clear air environments / Abdunabiev, Shahbozbek; Basso Tessa, C.; Tordella, Daniela; Paredes, Miryam; Pasero, Eros; Canavero, Flavio. - In: BULLETIN OF THE AMERICAN PHYSICAL SOCIETY. - ISSN 0003-0503. - ELETTRONICO. - Volume 64, Number 13:(2019). (Intervento presentato al convegno 72nd Annual Meeting of the APS Division of Fluid Dynamics). | 1-gen-2019 | Abdunabiev ShahbozbekBasso Tessa C.Tordella DanielaParedes MiryamPasero ErosCanavero Flavio | Abstract_with_acknowledgement.pdf |
| Machine Learning for the Design of a Distribution Network for High-Speed Signals / Trinchero, R.; Canavero, F. G.. - ELETTRONICO. - (2019), pp. 1038-1041. (Intervento presentato al convegno 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA) tenutosi a Granada, Spain, Spain nel 9-13 Sept. 2019) [10.1109/ICEAA.2019.8879415]. | 1-gen-2019 | Trinchero, R.Canavero, F. G. | - |
| Probabilistic Model of the Effect of a Ground Discontinuity on the Transmission of a Microstrip Interconnect / Trinchero, R.; Canavero, F. G.. - (2019), pp. 908-911. (Intervento presentato al convegno 2019 International Symposium on Electromagnetic Compatibility, EMC Europe 2019 tenutosi a Barcelona, Spain, Spain nel 2-6 Sept. 2019) [10.1109/EMCEurope.2019.8872094]. | 1-gen-2019 | Trinchero R.Canavero F. G. | - |
| Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by means of a Machine Learning Model Coupled with Kriging Regression / Trinchero, R.; Larbi, M.; Swaminathan, Madhavan; Canavero, F. G.. - ELETTRONICO. - (2019), pp. 1-4. (Intervento presentato al convegno 23rd IEEE Workshop on Signal and Power Integrity, SPI 2019 tenutosi a Chambéry, France, France nel 18-21 June 2019) [10.1109/SaPIW.2019.8781659]. | 1-gen-2019 | Trinchero R.Larbi M.SWAMINATHAN, MADHAVANCanavero F. G. | PID5867997.pdf; Trinchero-Statistical.pdf |
| Topological modelling and simulation of gas networks for multi-energy applications / Vaccariello, E.; Leone, P.; Canavero, F. G.; Stievano, I. S.. - ELETTRONICO. - (2019), pp. 1-5. (Intervento presentato al convegno ELECTRIMACS 2019 - The 13th International Conference of IMACS TC1 Committee tenutosi a Salerno nel May 20-23, 2019). | 1-gen-2019 | E. VaccarielloP. LeoneF. G. CanaveroI. S. Stievano | cnf-2019-ELECTRIMACS-GAS-abstract.pdf |
| Validation of a Physical-Based Model for a Spacewire Cable / Treviso, Felipe; Trinchero, R.; Canavero, F. G.. - ELETTRONICO. - (2019), pp. 1-6. (Intervento presentato al convegno 2019 ESA Workshop on Aerospace EMC, Aerospace EMC 2019 tenutosi a Budapest, Hungary nel 2019) [10.23919/AeroEMC.2019.8788945]. | 1-gen-2019 | TREVISO, FELIPETrinchero R.Canavero F. G. | - |
| Design of Passive Equalizer for Space Wire Links via Support Vector Machine / Trinchero, R.; Canavero, F. G.. - ELETTRONICO. - (2018), pp. 53-56. (Intervento presentato al convegno 2018 International Symposium on Electromagnetic Compatibility (EMC EUROPE) tenutosi a Amsterdam, Netherlands) [10.1109/EMCEurope.2018.8485177]. | 1-gen-2018 | Trinchero, R.Canavero, F. G. | - |
| Fast and Accurate Modeling Methodology Using Passive Macromodeling Techniques / Toure, Mohamed; Grivet-Talocia, Stefano; Canavero, Flavio G.; Robert, Florent; Paladian, Francoise; Bensetti, Mohamed; Dufour, Laurent. - ELETTRONICO. - (2018), pp. 539-544. (Intervento presentato al convegno 2018 International Symposium on Electromagnetic Compatibility (EMC EUROPE) tenutosi a Amsterdam, Netherlands nel Aug 27-30, 2018) [10.1109/EMCEurope.2018.8485016]. | 1-gen-2018 | Grivet-Talocia, StefanoCanavero, Flavio G. + | - |
| Modeling of eye diagram height in high-speed links via support vector machine / Trinchero, R.; Canavero, F. G.. - ELETTRONICO. - (2018), pp. 1-4. (Intervento presentato al convegno 22nd IEEE Workshop on Signal and Power Integrity, SPI 2018 tenutosi a fra nel 2018) [10.1109/SaPIW.2018.8401679]. | 1-gen-2018 | Trinchero, R.Canavero, F. G. | - |