FRESCA, STEFANIA
Distribuzione geografica
| Continente | # |
|---|---|
| EU - Europa | 289 |
| NA - Nord America | 200 |
| AS - Asia | 92 |
| OC - Oceania | 9 |
| AF - Africa | 8 |
| SA - Sud America | 5 |
| Totale | 603 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 189 |
| IT - Italia | 124 |
| FR - Francia | 35 |
| JP - Giappone | 35 |
| GB - Regno Unito | 33 |
| DE - Germania | 27 |
| ES - Italia | 23 |
| GR - Grecia | 14 |
| CN - Cina | 13 |
| CA - Canada | 11 |
| HK - Hong Kong | 11 |
| IN - India | 10 |
| NL - Olanda | 10 |
| SG - Singapore | 8 |
| AU - Australia | 7 |
| CH - Svizzera | 7 |
| BR - Brasile | 5 |
| CG - Congo | 4 |
| SE - Svezia | 4 |
| HU - Ungheria | 3 |
| IR - Iran | 3 |
| KR - Corea | 3 |
| VN - Vietnam | 3 |
| ZA - Sudafrica | 3 |
| AE - Emirati Arabi Uniti | 2 |
| AT - Austria | 2 |
| CZ - Repubblica Ceca | 2 |
| NZ - Nuova Zelanda | 2 |
| QA - Qatar | 2 |
| RU - Federazione Russa | 2 |
| BE - Belgio | 1 |
| DZ - Algeria | 1 |
| FI - Finlandia | 1 |
| IQ - Iraq | 1 |
| LU - Lussemburgo | 1 |
| PK - Pakistan | 1 |
| Totale | 603 |
| Città | # |
|---|---|
| Los Angeles | 30 |
| Tokyo | 30 |
| Milan | 22 |
| Barcelona | 19 |
| Surbo | 15 |
| Trieste | 14 |
| Santa Cruz | 10 |
| Paris | 9 |
| Fairfield | 8 |
| London | 7 |
| Providence | 7 |
| Ashburn | 6 |
| Pendleton | 6 |
| Rome | 6 |
| Seattle | 6 |
| Chiasso | 5 |
| Nottingham | 5 |
| Atlanta | 4 |
| Cambridge | 4 |
| Central | 4 |
| El Paso | 4 |
| Fombio | 4 |
| Naples | 4 |
| Nauplion | 4 |
| Patras | 4 |
| Rolla | 4 |
| Shanghai | 4 |
| Vancouver | 4 |
| Amsterdam | 3 |
| Blandford Forum | 3 |
| Brazzaville | 3 |
| Buffalo | 3 |
| Carugate | 3 |
| Clamart | 3 |
| Dallas | 3 |
| Dong Ket | 3 |
| Garbana | 3 |
| Hong Kong | 3 |
| Houston | 3 |
| Lentate sul Seveso | 3 |
| Leporano | 3 |
| Madrid | 3 |
| Newport | 3 |
| Viersen | 3 |
| Albuquerque | 2 |
| Auckland | 2 |
| Avellino | 2 |
| Bolzano | 2 |
| Bordeaux | 2 |
| Boxmeer | 2 |
| Carlisle | 2 |
| Cedar Knolls | 2 |
| Chennai | 2 |
| Columbus | 2 |
| Coulsdon | 2 |
| Council Bluffs | 2 |
| Cumberland | 2 |
| Doha | 2 |
| Dresden | 2 |
| Harlesden | 2 |
| Heiloo | 2 |
| Johannesburg | 2 |
| Krefeld | 2 |
| Kyoto | 2 |
| Lecce | 2 |
| Les Ulis | 2 |
| Lincolnshire | 2 |
| Ludwigsburg | 2 |
| Montreal | 2 |
| Napoli | 2 |
| Northolt | 2 |
| Osaka | 2 |
| Phoenix | 2 |
| Rio de Janeiro | 2 |
| San Diego | 2 |
| St. John's | 2 |
| Stockholm | 2 |
| Strasbourg | 2 |
| Stuttgart | 2 |
| Vienna | 2 |
| West Lafayette | 2 |
| Aachen | 1 |
| Acton | 1 |
| Agrate Brianza | 1 |
| Agrinio | 1 |
| Ann Arbor | 1 |
| Arlington | 1 |
| Athens | 1 |
| Auburn | 1 |
| Austin | 1 |
| Badalona | 1 |
| Barleben | 1 |
| Baton Rouge | 1 |
| Bebedouro | 1 |
| Bergamo | 1 |
| Berlin | 1 |
| Brighton | 1 |
| Bristol | 1 |
| Budapest | 1 |
| Chicago | 1 |
| Totale | 390 |
| Nome | # |
|---|---|
| Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics, file c2b146ec-4ced-4da1-8b3c-f22b98318efe | 271 |
| A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs, file e0c31c11-051d-4599-e053-1705fe0aef77 | 213 |
| POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium, file e0c31c11-c9fa-4599-e053-1705fe0aef77 | 72 |
| Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models, file a7f4c4b5-a493-44b7-a8e7-9395b8c5e157 | 49 |
| Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs, file 9f952a68-10b0-4799-b6c8-ba1251797dc1 | 4 |
| Modelling the Periodic Response of Micro-Electromechanical Systems through Deep Learning-Based Approaches, file 7559e273-fbc8-45dc-b0c2-90fe73e5148b | 1 |
| Totale | 610 |
| Categoria | # |
|---|---|
| all - tutte | 1.234 |
| article - articoli | 1.234 |
| book - libri | 0 |
| conference - conferenze | 0 |
| curatela - curatele | 0 |
| other - altro | 0 |
| patent - brevetti | 0 |
| selected - selezionate | 0 |
| volume - volumi | 0 |
| Totale | 2.468 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020/2021 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 3 |
| 2021/2022 | 126 | 7 | 0 | 11 | 10 | 10 | 9 | 5 | 12 | 20 | 5 | 26 | 11 |
| 2022/2023 | 230 | 10 | 25 | 24 | 28 | 15 | 18 | 20 | 12 | 26 | 14 | 8 | 30 |
| 2023/2024 | 247 | 34 | 9 | 24 | 20 | 38 | 52 | 26 | 18 | 11 | 15 | 0 | 0 |
| Totale | 610 | ||||||||||||