Demo, Nicola
 Distribuzione geografica
Continente #
EU - Europa 2.312
NA - Nord America 1.436
AS - Asia 891
SA - Sud America 176
AF - Africa 21
Continente sconosciuto - Info sul continente non disponibili 5
OC - Oceania 2
Totale 4.843
Nazione #
US - Stati Uniti d'America 1.385
RU - Federazione Russa 1.062
IT - Italia 630
CN - Cina 318
SG - Singapore 263
BR - Brasile 150
SE - Svezia 135
IE - Irlanda 131
DE - Germania 81
HK - Hong Kong 74
TR - Turchia 58
VN - Vietnam 56
FR - Francia 51
UA - Ucraina 49
KR - Corea 46
CA - Canada 39
GB - Regno Unito 36
FI - Finlandia 27
NL - Olanda 22
BE - Belgio 17
JP - Giappone 17
AT - Austria 16
ES - Italia 15
IN - India 15
AR - Argentina 13
BD - Bangladesh 10
LT - Lituania 9
MX - Messico 8
ZA - Sudafrica 8
MA - Marocco 7
PL - Polonia 7
CZ - Repubblica Ceca 6
CH - Svizzera 5
EU - Europa 4
IQ - Iraq 4
BO - Bolivia 3
BY - Bielorussia 3
EC - Ecuador 3
GR - Grecia 3
PK - Pakistan 3
AZ - Azerbaigian 2
CL - Cile 2
CO - Colombia 2
ID - Indonesia 2
IL - Israele 2
IR - Iran 2
JO - Giordania 2
KE - Kenya 2
OM - Oman 2
PY - Paraguay 2
SY - Repubblica araba siriana 2
TH - Thailandia 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AE - Emirati Arabi Uniti 1
AF - Afghanistan, Repubblica islamica di 1
AM - Armenia 1
AU - Australia 1
BG - Bulgaria 1
BN - Brunei Darussalam 1
CI - Costa d'Avorio 1
CR - Costa Rica 1
DK - Danimarca 1
DO - Repubblica Dominicana 1
EG - Egitto 1
GE - Georgia 1
GM - Gambi 1
GT - Guatemala 1
JM - Giamaica 1
KG - Kirghizistan 1
KH - Cambogia 1
LB - Libano 1
LU - Lussemburgo 1
LV - Lettonia 1
MC - Monaco 1
MU - Mauritius 1
MY - Malesia 1
NO - Norvegia 1
PE - Perù 1
PH - Filippine 1
RS - Serbia 1
TV - Tuvalu 1
UZ - Uzbekistan 1
Totale 4.843
Città #
Moscow 312
Scuola 286
Dallas 249
Chandler 171
Singapore 137
Dublin 130
Ashburn 104
Trieste 100
Beijing 82
New York 82
Boardman 77
Hong Kong 74
Hefei 49
Ann Arbor 47
Jacksonville 47
Santa Clara 38
Dong Ket 34
Izmir 31
Milan 28
Los Angeles 26
Seoul 25
Brooklyn 23
Istanbul 23
Shanghai 23
Council Bluffs 22
Wilmington 22
Columbus 20
Toronto 20
Bremen 18
São Paulo 17
Brussels 16
Saint Petersburg 16
Buffalo 15
Rome 15
Helsinki 14
Princeton 14
Sauris 14
The Dalles 13
Washington 13
Dearborn 12
Falkenstein 12
Montreal 12
Ogden 12
Vienna 12
Tokyo 11
Amsterdam 9
Stockholm 9
Chicago 8
Nanjing 8
San Francisco 8
Turin 8
Ho Chi Minh City 7
Las Vegas 7
Redondo Beach 7
Redwood City 7
Seattle 7
Blacksburg 6
Boston 6
Houston 6
London 6
Munich 6
Poplar 6
Torino 6
Turku 6
Warsaw 6
Bologna 5
Candelo 5
Chennai 5
Dhaka 5
Johannesburg 5
Lappeenranta 5
Nanchang 5
Nuremberg 5
Phoenix 5
Vilnius 5
Augusta 4
Belo Horizonte 4
Brno 4
Campinas 4
Denver 4
Dongguan 4
Hanoi 4
Jiaxing 4
Mexico City 4
Orem 4
Pomponesco 4
Rio de Janeiro 4
Rovereto 4
Strasbourg 4
Woodbridge 4
Yubileyny 4
Austin 3
Berlin 3
Buenos Aires 3
Cagliari 3
Córdoba 3
Dalmine 3
Frankfurt Am Main 3
Frankfurt am Main 3
Hanover 3
Totale 2.798
Nome #
Increasing speedup of naval hull workflow optimization using Reduced Order Methods 338
A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems 326
Advances in reduced order methods for parametric industrial problems in computational fluid dynamics 322
Model order reduction by means of active subspaces and dynamic mode decomposition for parametric hull shape design hydrodynamics 293
Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition 267
An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment 262
Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces 234
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces 230
Enhancing CFD predictions in shape design problems by model and parameter space reduction 229
PyGeM: Python Geometrical Morphing 208
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques 187
Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing 186
A continuous convolutional trainable filter for modelling unstructured data 164
An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics 162
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems 162
The Neural Network shifted-proper orthogonal decomposition: A machine learning approach for non-linear reduction of hyperbolic equations 162
Reduced order isogeometric analysis approach for PDEs in parametrized domains 151
A Gaussian Process Regression approach within a data-driven POD framework for engineering problems in fluid dynamics 151
A dimensionality reduction approach for convolutional neural networks 145
A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks 143
Chapter 20: A Deep Learning Approach to Improving Reduced Order Models 141
KD-AHOSVD: Neural Network Compression via Knowledge Distillation and Tensor Decomposition 126
Physics-Informed Neural networks for Advanced modeling 122
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques 101
Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation 77
Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics 38
Generative adversarial reduced order modelling 37
Totale 4.964
Categoria #
all - tutte 16.830
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 16.830


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021242 0 0 0 0 0 55 33 12 40 38 7 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
2025/20261.381 70 182 249 280 350 250 0 0 0 0 0 0
Totale 4.964