SOLEIMANI, NASTARAN
 Distribuzione geografica
Continente #
EU - Europa 133
NA - Nord America 11
AS - Asia 10
AF - Africa 2
OC - Oceania 1
Totale 157
Nazione #
IT - Italia 69
GB - Regno Unito 24
IE - Irlanda 18
US - Stati Uniti d'America 9
FR - Francia 6
GR - Grecia 5
FI - Finlandia 4
IN - India 4
CN - Cina 3
DE - Germania 3
CA - Canada 2
EG - Egitto 2
IR - Iran 2
UA - Ucraina 2
AU - Australia 1
CZ - Repubblica Ceca 1
JO - Giordania 1
SE - Svezia 1
Totale 157
Città #
Turin 30
Torino 26
Southend 24
Dublin 18
Milan 5
Mestre 3
Xian 3
Breckerfeld 2
Helsinki 2
Lappeenranta 2
Paris 2
Roorkee 2
San Jose 2
Winnipeg 2
Amman 1
Cambridge 1
Columbus 1
Fairfield 1
Frankfurt am Main 1
Lissone 1
New York 1
Oristano 1
San Mateo 1
Torrance 1
Valdagno 1
Wilmington 1
Totale 135
Nome #
Application of Different Learning Methods for the Modelling of Microstrip Characteristics, file e384c433-8378-d4b2-e053-9f05fe0a1d67 42
Power transmission through a single conductive element, file e384c434-46aa-d4b2-e053-9f05fe0a1d67 18
Machine Learning based Surrogate Modeling of Electronic Devices and Circuits, file 3bffb701-98f2-44bc-9fae-3e2003b67449 15
Crosstalk analysis of uniform and nonuniform lossy microstrip-coupled transmission lines, file e384c434-7964-d4b2-e053-9f05fe0a1d67 14
Crosstalk analysis of multi‐microstrip coupled lines using transmission line modeling, file e384c434-7800-d4b2-e053-9f05fe0a1d67 9
Compressed Complex-Valued Least Squares Support Vector Machine Regression for Modeling of the Frequency-Domain Responses of Electromagnetic Structures, file e384c434-c591-d4b2-e053-9f05fe0a1d67 8
Crosstalk analysis at near-end and far-end of the coupled transmission lines based on eigenvector decomposition, file e384c434-9a94-d4b2-e053-9f05fe0a1d67 7
Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper–Graphene On-Chip Interconnects, file 13034260-3643-456d-8fdf-4993fd547538 6
Machine Learning based Surrogate Modeling of Electronic Devices and Circuits, file 35cba44b-4f08-4203-8898-2e18cae0e7c8 5
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications, file 98f78c73-3bb0-483e-a4bc-5248857f37b3 5
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link, file c5477e7f-504d-4094-b415-e1e3d6492f34 4
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links, file 31d015b3-6c7a-4278-83fb-6ea4cbe7a8c0 3
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier, file c7834bc5-a50c-47a5-b759-bfa4f9c5c053 3
Detection of brain lesion location in MRI images using convolutional neural network and robust PCA, file e384c434-7d64-d4b2-e053-9f05fe0a1d67 3
Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams, file 3ac19b5a-9e8b-487a-ab42-7cc77117edf5 2
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link, file c5e652a4-5315-4a12-9581-71340ec16607 2
Application of Different Learning Methods for the Modelling of Microstrip Characteristics, file e384c433-72dd-d4b2-e053-9f05fe0a1d67 2
Crosstalk analysis of multi‐microstrip coupled lines using transmission line modeling, file e384c434-9580-d4b2-e053-9f05fe0a1d67 2
Crosstalk analysis of uniform and nonuniform lossy microstrip-coupled transmission lines, file e384c434-9582-d4b2-e053-9f05fe0a1d67 2
Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams, file 0d28ada2-094d-413e-842d-1e775bb7da8d 1
Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression, file 38311c38-e735-45fb-905e-27e72bebd7d9 1
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links, file e175591b-82a8-4c52-a361-6ba2aeddf62b 1
Crosstalk analysis at near-end and far-end of the coupled transmission lines based on eigenvector decomposition, file e384c434-75a5-d4b2-e053-9f05fe0a1d67 1
Compressed Complex-Valued Least Squares Support Vector Machine Regression for Modeling of the Frequency-Domain Responses of Electromagnetic Structures, file e384c434-c592-d4b2-e053-9f05fe0a1d67 1
Totale 157
Categoria #
all - tutte 446
article - articoli 184
book - libri 0
conference - conferenze 118
curatela - curatele 0
other - altro 0
patent - brevetti 43
selected - selezionate 0
volume - volumi 0
Totale 791


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20218 0 0 0 0 0 0 0 0 0 6 1 1
2021/202265 3 1 2 6 5 3 0 10 13 10 8 4
2022/202349 11 1 2 4 2 13 4 2 5 1 0 4
2023/202435 3 3 3 4 4 3 2 1 5 4 3 0
Totale 157