FORNASARI, SIMONE FRANCESCO
 Distribuzione geografica
Continente #
EU - Europa 179
NA - Nord America 132
AS - Asia 120
SA - Sud America 18
AF - Africa 15
Totale 464
Nazione #
US - Stati Uniti d'America 128
IT - Italia 117
SG - Singapore 48
HK - Hong Kong 28
RU - Federazione Russa 16
BR - Brasile 15
CN - Cina 12
DE - Germania 9
SE - Svezia 9
ID - Indonesia 7
IE - Irlanda 6
JP - Giappone 6
IN - India 5
AT - Austria 4
CD - Congo 4
CH - Svizzera 4
MA - Marocco 4
IR - Iran 3
KR - Corea 3
BO - Bolivia 2
CA - Canada 2
GB - Regno Unito 2
MX - Messico 2
PT - Portogallo 2
SN - Senegal 2
TN - Tunisia 2
TR - Turchia 2
TW - Taiwan 2
AE - Emirati Arabi Uniti 1
AL - Albania 1
AR - Argentina 1
BE - Belgio 1
CI - Costa d'Avorio 1
DZ - Algeria 1
FI - Finlandia 1
FR - Francia 1
HU - Ungheria 1
LA - Repubblica Popolare Democratica del Laos 1
MY - Malesia 1
NG - Nigeria 1
NL - Olanda 1
NO - Norvegia 1
PK - Pakistan 1
PL - Polonia 1
SK - Slovacchia (Repubblica Slovacca) 1
UA - Ucraina 1
Totale 464
Città #
Trieste 74
Hong Kong 28
Singapore 21
Boardman 19
Santa Clara 17
North Bergen 11
West Jordan 10
Chandler 9
Denver 9
Jakarta 7
Columbus 6
Dublin 6
Moscow 6
Rome 6
Tokyo 6
Ashburn 5
Beijing 4
Bern 4
Bukavu 4
Los Angeles 4
Rabat 4
Vienna 4
Dallas 3
Fiumicino 3
Seoul 3
São Paulo 3
Aryanah 2
Bengaluru 2
Catania 2
Cisterna di Latina 2
Dakar 2
Frankfurt am Main 2
Hamburg 2
La Paz 2
Lisbon 2
Marcon 2
Mumbai 2
Reggio Emilia 2
Seattle 2
The Dalles 2
Udine 2
Abidjan 1
Algiers 1
Alta Floresta d'Oeste 1
Alto Araguaia 1
Ankara 1
Bratislava 1
Brussels 1
Cermenate 1
Cividale del Friuli 1
Dubai 1
Estância Velha 1
George Town 1
Goiânia 1
Helsinki 1
Juazeiro do Norte 1
Lagos 1
Lancenigo-Villorba 1
Luziânia 1
Miguel Calmon 1
Milan 1
Modigliana 1
Naples 1
New Taipei 1
Nuremberg 1
Oslo 1
Ottawa 1
Paris 1
Peshawar 1
Picos 1
Pordenone 1
Porto Alegre 1
Praia Grande 1
Pune 1
Rio de Janeiro 1
Scorzè 1
Shantou 1
Sopron 1
Tirana 1
Tláhuac 1
Toronto 1
Treviso 1
Ubá 1
Viedma 1
Vientiane 1
Zaporizhzhya 1
Totale 351
Nome #
A machine-learning approach for the reconstruction of ground shaking fields in real-time 105
Development of machine learning approaches for real-time ground-shaking maps reconstruction 96
Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis 92
A Machine-Learning Approach for the Reconstruction of Ground-Shaking Fields in Real Time 58
Neural-Network and Multivariate-Normal-Distribution Hybrid Method for Real-Time Ground-Shaking Reconstruction 24
Seismic background noise levels in the Italian strong-motion network 22
A first look at the ground motion characteristics unveiled by accelerometric data: the case of Campi Flegrei area (Italy) 21
Seismic noise measurements in the city of Trieste in order to plan an urban seismic network 20
Seismic Signal Denoising with Attention U-Net 16
Development of an hybrid GMPE-less ShakeMap implementation for real-time ground shaking  maps reconstruction 15
The new urban strong motion array along the Crati Valley 14
Totale 483
Categoria #
all - tutte 1.761
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 1.761


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2022/202362 0 9 8 7 7 9 1 7 3 2 8 1
2023/2024162 7 2 7 6 2 3 12 12 10 52 37 12
2024/2025259 7 9 10 20 52 38 31 30 48 14 0 0
Totale 483