IRIS
BERMANI, EMANUELA
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
NA - Nord America 828
EU - Europa 680
AS - Asia 382
SA - Sud America 19
OC - Oceania 6
AF - Africa 1
Continente sconosciuto - Info sul continente non disponibili 1
Totale 1.917
Salva come PNG Salva come JPEG
Nazione #
US - Stati Uniti d'America 826
CN - Cina 307
IE - Irlanda 161
UA - Ucraina 114
RU - Federazione Russa 80
SE - Svezia 68
FI - Finlandia 63
DE - Germania 61
GB - Regno Unito 59
SG - Singapore 55
IT - Italia 31
BR - Brasile 17
FR - Francia 16
BE - Belgio 12
IN - India 9
AU - Australia 6
NL - Olanda 5
AZ - Azerbaigian 3
BD - Bangladesh 3
NO - Norvegia 3
CA - Canada 2
CZ - Repubblica Ceca 2
TR - Turchia 2
AE - Emirati Arabi Uniti 1
AR - Argentina 1
CO - Colombia 1
DK - Danimarca 1
EE - Estonia 1
EG - Egitto 1
ES - Italia 1
EU - Europa 1
HU - Ungheria 1
IQ - Iraq 1
MN - Mongolia 1
RO - Romania 1
Totale 1.917
Salva come PNG Salva come JPEG
Città #
Chandler 175
Dublin 161
Jacksonville 142
Nanjing 85
Ann Arbor 64
Boardman 51
Nanchang 49
Ashburn 47
Hebei 39
Princeton 35
Wilmington 34
Lawrence 26
Changsha 25
Medford 25
Beijing 24
Shenyang 24
Moscow 21
Hangzhou 17
Woodbridge 17
Norwalk 16
Singapore 16
Jiaxing 15
Tianjin 15
Milan 14
Brussels 11
Houston 11
Los Angeles 11
Verona 10
Falkenstein 8
Fairfield 6
Chicago 4
Melbourne 4
Auburn Hills 3
Baku 3
Helsinki 3
Jinan 2
Prague 2
Pune 2
Sydney 2
Taizhou 2
Alto Paraíso 1
Basra 1
Belo Horizonte 1
Boa Vista 1
Boituva 1
Borås 1
Botucatu 1
Brooklyn 1
Cairo 1
Campinas 1
Carapicuíba 1
Conselheiro Lafaiete 1
Copenhagen 1
Des Moines 1
Eldorado do Sul 1
Frankfurt am Main 1
Gazipur 1
Jaú 1
Lajedo 1
Lanús 1
Leidschendam 1
Markham 1
Milton Keynes 1
Neiva 1
Newark 1
Nobres 1
Novokuznetsk 1
Orange 1
Paris 1
Piúma 1
Redwood City 1
Rome 1
Salto 1
Salvador 1
San Francisco 1
Santa Clara 1
Santo André 1
Seattle 1
Sopron 1
Stockholm 1
São Paulo 1
Tallinn 1
Toronto 1
Ulan Bator 1
Washington 1
Zhengzhou 1
Totale 1.267
Salva come PNG Salva come JPEG
Nome #
An electromagnetic neural network technique for detecting two dimensional objects embedded in lossy half-spaces, in Non-Linear electromagnetic system 100
A boundary value approach for the evaluation of the electric field distribution inside exposed biological phantoms 92
Electromagnetic recognition and identification of sub-surface buried objects 87
Interactions between Microwaves and Exposed Biological Bodies - Assessment of a Boundary Value Approach for the Non-Invasive Electromagnetic Field Prediction 86
A locally constrained microwave imaging approach for the estimation of the electromagnetic field distribution in exposed phantoms 80
Condizioni di assorbimento per la soluzione mediante il metodo degli elementi finiti di problemi di scattering elettromagnetico nel dominio del tempo 79
An electromagnetic neural network technique for detecting two dimensional objects embedded in lossy-half spaces 75
Simulazione della propagazione elettromagnetica nel terreno tramite codice numerico agli elementi finiti e prima classificazione dielettrico-conduttore di oggetti sepolti mediante rete neuronale 74
An inverse scattering approach for the electric field prediction in biological bodies 74
A microwave imaging approach based on amplitude-only data for the reconstruction of the electromagnetic field induced in biological phantoms 74
On the effectiveness of kernel-based learning-by-examples techniques for electromagnetic subsurface sensing 74
Advances in electromagnetic field prediction inside exposed biological bodies by means of inverse scattering techniques 73
Exploiting different neural network based algorithms for the detection and the characterization of cylindrical buried objects 73
Electromagnetic identification algorithm for buried object based on a neural network technique 71
Some considerations about the sampling requirement for the scatterer in an inverse procedure based on a neural network 70
Locally-constrained inverse scattering approach for electromagnetic field prediction 67
Applicazione del metodo degli elementi finiti alla risoluzione di problemi di scattering elettromagnetico nel dominio della frequenza e del tempo 66
Requirements for the scattered field acquisitions and the data inversion in an imaging technique based on a neural network 63
Uniqueness of the solution of electromagnetic boundary value problems in the presence of partly lossy chiral media 59
An inverse scattering approach based on a neural network technique for the detection of dielectric cylinders buried in a lossy half-space 59
Causal perfectly matched anisotropic absorbers for the numerical solution of unbounded problems in the time domain 57
Applications of a causal PML absorber to the solution of electromagnetic scattering problems in the time domain by the finite element method 53
A thresold electromagnetic classification approach for cylinders embedded in a lossy medium by using a neural network technique 51
How can neural networks be used for the electromagnetic imaging of buried objects 51
A neural network approach to the electromagnetic identification of cylindrical targets: preliminary results 50
Geometric and dielectric characterization of buried cylinders by using simple time-domain electromagnetic data and neural networks 43
Inverse scattering techniques and the evaluation of the electromagnetic deposition in exposed biological structures: current strategies and future developments 33
Microwave object recognition approach based on neural networks 33
On the training pattern of a nueral network for target localization in the spatial domain 32
Time domain inverse scattering by means of neural networks 29
Totale 1.928
Salva come PNG Salva come JPEG
Categoria #
all - tutte 7.249
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 7.249
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202055 0 0 0 0 0 0 0 0 0 30 25 0
2020/2021248 23 20 11 20 2 34 4 41 13 36 33 11
2021/2022144 1 5 0 1 4 0 6 8 4 3 26 86
2022/2023457 33 49 2 37 61 50 0 22 195 0 8 0
2023/2024110 9 26 4 18 12 27 0 6 1 7 0 0
2024/2025260 13 33 6 13 0 24 13 35 117 6 0 0
Totale 1.928