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Demo, Nicola
 Distribuzione geografica
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Continente #
EU - Europa 2.571
NA - Nord America 1.837
AS - Asia 1.160
SA - Sud America 219
AF - Africa 31
Continente sconosciuto - Info sul continente non disponibili 6
OC - Oceania 3
Totale 5.827
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Nazione #
US - Stati Uniti d'America 1.776
RU - Federazione Russa 1.197
IT - Italia 666
SG - Singapore 351
CN - Cina 338
BR - Brasile 178
SE - Svezia 156
VN - Vietnam 137
IE - Irlanda 131
DE - Germania 87
HK - Hong Kong 84
FR - Francia 79
TR - Turchia 60
KR - Corea 52
GB - Regno Unito 51
UA - Ucraina 51
CA - Canada 40
FI - Finlandia 31
IN - India 31
NL - Olanda 25
JP - Giappone 21
BD - Bangladesh 18
BE - Belgio 17
AR - Argentina 16
AT - Austria 16
ES - Italia 16
MX - Messico 14
ZA - Sudafrica 11
LT - Lituania 9
PL - Polonia 9
IQ - Iraq 8
MA - Marocco 8
PH - Filippine 8
PK - Pakistan 8
CO - Colombia 6
CZ - Repubblica Ceca 6
CH - Svizzera 5
GR - Grecia 5
CL - Cile 4
EC - Ecuador 4
EU - Europa 4
ID - Indonesia 4
VE - Venezuela 4
AE - Emirati Arabi Uniti 3
BO - Bolivia 3
BY - Bielorussia 3
JO - Giordania 3
KE - Kenya 3
MY - Malesia 3
OM - Oman 3
SY - Repubblica araba siriana 3
UZ - Uzbekistan 3
AU - Australia 2
AZ - Azerbaigian 2
BG - Bulgaria 2
EG - Egitto 2
IL - Israele 2
IR - Iran 2
JM - Giamaica 2
LV - Lettonia 2
PE - Perù 2
PY - Paraguay 2
RS - Serbia 2
TH - Thailandia 2
TN - Tunisia 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AF - Afghanistan, Repubblica islamica di 1
AM - Armenia 1
BN - Brunei Darussalam 1
CI - Costa d'Avorio 1
CR - Costa Rica 1
DK - Danimarca 1
DO - Repubblica Dominicana 1
DZ - Algeria 1
ET - Etiopia 1
GE - Georgia 1
GM - Gambi 1
GT - Guatemala 1
HR - Croazia 1
KG - Kirghizistan 1
KH - Cambogia 1
KZ - Kazakistan 1
LB - Libano 1
LU - Lussemburgo 1
MC - Monaco 1
MM - Myanmar 1
MN - Mongolia 1
MU - Mauritius 1
NO - Norvegia 1
NP - Nepal 1
QA - Qatar 1
SA - Arabia Saudita 1
SV - El Salvador 1
TT - Trinidad e Tobago 1
TV - Tuvalu 1
TW - Taiwan 1
XK - ???statistics.table.value.countryCode.XK??? 1
Totale 5.827
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Città #
Moscow 369
Scuola 286
Dallas 250
San Jose 198
Singapore 176
Chandler 171
Ashburn 166
Dublin 130
Trieste 104
New York 97
Beijing 93
Hong Kong 83
Boardman 78
Hefei 49
Jacksonville 48
Santa Clara 48
Ann Arbor 47
Los Angeles 35
The Dalles 35
Dong Ket 34
Milan 33
Izmir 31
Ho Chi Minh City 29
Hanoi 27
Brooklyn 26
Seoul 26
Council Bluffs 25
Istanbul 24
Lauterbourg 23
Shanghai 23
Wilmington 22
Columbus 21
São Paulo 21
Toronto 20
Bremen 18
Rome 17
Brussels 16
Saint Petersburg 16
Buffalo 15
Helsinki 15
Chicago 14
Princeton 14
Sauris 14
Tokyo 14
Montreal 13
Washington 13
Amsterdam 12
Dearborn 12
Falkenstein 12
Ogden 12
Vienna 12
Stockholm 11
Orem 9
San Francisco 9
Chennai 8
Houston 8
Lappeenranta 8
London 8
Nanjing 8
Turin 8
Warsaw 8
Bologna 7
Campinas 7
Da Nang 7
Las Vegas 7
Poplar 7
Redondo Beach 7
Redwood City 7
Seattle 7
Blacksburg 6
Boston 6
Dhaka 6
Johannesburg 6
Mexico City 6
Mumbai 6
Munich 6
Nuremberg 6
Torino 6
Turku 6
Candelo 5
Denver 5
Frankfurt am Main 5
Manchester 5
Nanchang 5
Phoenix 5
Trento 5
Vilnius 5
Atlanta 4
Augusta 4
Belo Horizonte 4
Brno 4
Cagliari 4
Dongguan 4
Jiaxing 4
Joinville 4
Lahore 4
New Delhi 4
Pomponesco 4
Rio de Janeiro 4
Rovereto 4
Totale 3.380
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Nome #
Advances in reduced order methods for parametric industrial problems in computational fluid dynamics 376
A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems 373
Increasing speedup of naval hull workflow optimization using Reduced Order Methods 364
Model order reduction by means of active subspaces and dynamic mode decomposition for parametric hull shape design hydrodynamics 329
An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment 310
Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition 290
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces 272
Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces 269
Enhancing CFD predictions in shape design problems by model and parameter space reduction 268
PyGeM: Python Geometrical Morphing 242
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques 232
Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing 226
An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics 201
A continuous convolutional trainable filter for modelling unstructured data 199
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems 197
A Gaussian Process Regression approach within a data-driven POD framework for engineering problems in fluid dynamics 186
The Neural Network shifted-proper orthogonal decomposition: A machine learning approach for non-linear reduction of hyperbolic equations 182
A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks 180
Reduced order isogeometric analysis approach for PDEs in parametrized domains 180
A dimensionality reduction approach for convolutional neural networks 179
Chapter 20: A Deep Learning Approach to Improving Reduced Order Models 179
KD-AHOSVD: Neural Network Compression via Knowledge Distillation and Tensor Decomposition 177
Physics-Informed Neural networks for Advanced modeling 157
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques 143
Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation 106
Generative adversarial reduced order modelling 67
Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics 58
Plug-and-play neural compression: A knowledge distillation framework with flexible dimensionality reduction 7
Machine Learning-Based Quadratic Closures for Non-Intrusive Reduced Order Models 5
Totale 5.954
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Categoria #
all - tutte 19.112
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 19.112
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202157 0 0 0 0 0 0 0 0 0 0 0 57
2021/2022276 20 19 15 24 50 12 9 21 26 9 23 48
2022/2023648 98 68 43 50 48 121 52 41 70 15 26 16
2023/2024427 27 6 9 10 52 129 27 28 52 29 11 47
2024/20251.391 143 65 97 343 199 62 85 98 22 31 106 140
2025/20262.371 70 182 249 280 350 505 313 66 87 177 53 39
Totale 5.954