TRINCHERO, RICCARDO
 Distribuzione geografica
Continente #
NA - Nord America 4.569
EU - Europa 3.782
AS - Asia 953
AF - Africa 38
SA - Sud America 24
OC - Oceania 11
Continente sconosciuto - Info sul continente non disponibili 1
Totale 9.378
Nazione #
US - Stati Uniti d'America 4.511
IT - Italia 929
GB - Regno Unito 813
DE - Germania 617
FR - Francia 483
CN - Cina 456
IE - Irlanda 333
BE - Belgio 127
SG - Singapore 112
UA - Ucraina 110
TR - Turchia 79
IN - India 67
SE - Svezia 64
CA - Canada 58
HK - Hong Kong 56
CH - Svizzera 51
KR - Corea 42
NL - Olanda 42
UZ - Uzbekistan 39
BG - Bulgaria 34
FI - Finlandia 30
ES - Italia 26
AT - Austria 23
RU - Federazione Russa 20
IR - Iran 19
JO - Giordania 19
JP - Giappone 18
RO - Romania 17
BR - Brasile 14
IL - Israele 13
PL - Polonia 13
ZA - Sudafrica 12
AU - Australia 10
GR - Grecia 9
MY - Malesia 9
CL - Cile 6
DZ - Algeria 6
HR - Croazia 6
CD - Congo 5
CI - Costa d'Avorio 5
CZ - Repubblica Ceca 5
PK - Pakistan 5
DK - Danimarca 4
EE - Estonia 4
ID - Indonesia 4
PT - Portogallo 4
TN - Tunisia 4
AL - Albania 3
EU - Europa 3
NO - Norvegia 3
PE - Perù 3
PH - Filippine 3
VN - Vietnam 3
ET - Etiopia 2
KG - Kirghizistan 2
LU - Lussemburgo 2
NG - Nigeria 2
SA - Arabia Saudita 2
TW - Taiwan 2
AM - Armenia 1
AZ - Azerbaigian 1
BO - Bolivia 1
EG - Egitto 1
HU - Ungheria 1
KZ - Kazakistan 1
LA - Repubblica Popolare Democratica del Laos 1
LK - Sri Lanka 1
LT - Lituania 1
LV - Lettonia 1
MA - Marocco 1
MO - Macao, regione amministrativa speciale della Cina 1
NZ - Nuova Zelanda 1
RS - Serbia 1
SI - Slovenia 1
Totale 9.378
Città #
Southend 688
Ashburn 642
Houston 463
Fairfield 362
Dublin 330
Chandler 311
Seattle 307
Turin 222
Torino 217
Princeton 199
Woodbridge 190
Ann Arbor 161
Wilmington 154
Cambridge 138
Fujian 138
Berlin 128
Brussels 125
Beijing 109
Council Bluffs 91
Buffalo 72
Boardman 69
San Francisco 69
New York 61
Izmir 58
Singapore 58
Milan 52
San Ramon 52
Jacksonville 48
San Donato Milanese 46
Bern 42
Des Moines 42
Piscataway 39
Fremont 36
Sofia 34
Falls Church 32
Shanghai 30
Guangzhou 28
Frankfurt am Main 23
Helsinki 23
Montréal 21
Las Vegas 19
Redwood City 19
Rome 19
Chicago 18
Paris 18
Menlo Park 17
Norwalk 16
Vienna 16
Cupertino 15
London 15
San Diego 15
San Jose 15
Xian 15
San Antonio 14
Ankara 13
Austin 13
Mountain View 13
Dearborn 12
Gilroy 12
Redmond 12
Toronto 12
Xi'an 12
Zaporozhye 12
Basking Ridge 11
Naaldwijk 11
Valdagno 11
Indiana 10
Shenzhen 10
Washington 10
Wuhan 10
Breckerfeld 9
Miami 9
Muizenberg 9
Nanjing 9
Tashkent 9
Zhengzhou 9
Amsterdam 8
Athens 8
Chengdu 8
Columbus 8
Dallas 8
Duncan 8
Mcallen 8
Nürnberg 8
Saint Petersburg 8
Santa Clara 8
Seoul 8
Brooklyn 7
Frankfurt 7
Galati 7
Los Angeles 7
Ottawa 7
Phoenix 7
Seongnam 7
Valfenera 7
Varese 7
Victoria 7
Baltimore 6
Lake Forest 6
Lappeenranta 6
Totale 6.555
Nome #
Behavioral, Parameterized, and Broadband Modeling of Wired Interconnects with Internal Discontinuities 553
EMI Prediction of Switching Converters 517
EMI Analysis and Modeling of Switching Circuits 504
Combined Parametric and Worst Case Circuit Analysis via Taylor Models 461
EMI modeling of switching circuits via augmented equivalents and measured data 418
Steady-State Analysis of Switching Power Converters via Augmented Time-Invariant Equivalents 360
Application of Taylor models to the worst-case analysis of stripline interconnects 329
Steady-State Analysis of Switching Converters via Frequency-Domain Circuit Equivalents 325
Steady-State Response of Periodically Switched Linear Circuits via Augmented Time-Invariant Nodal Analysis 323
How Affine Arithmetic Helps Beat Uncertainties in Electrical Systems 312
Simulation of buck converters via numerical inverse Laplace transform 311
TMsim: An Algorithmic Tool for the Parametric and Worst-Case Simulation of Systems with Uncertainties 302
EMI Modeling of DC Motors from Measured Data 230
Self-Validated Time-Domain Analysis of Linear Systems with Bounded Uncertain Parameters 202
Worst-Case analysis of electrical and electronic equipment via affine arithmetic 177
Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters 159
Compressed Machine Learning Models for the Uncertainty Quantification of Power Distribution Networks 124
Worst-case EMC investigation of single-wire transmission lines based on taylor arithmetic 113
Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels 108
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by means of a Machine Learning Model Coupled with Kriging Regression 106
A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression 106
Validation of a Physical-Based Model for a Spacewire Cable 102
Sensitivity Analysis of Passive Intermodulation Due to Electrical Contacts 102
An Iterative Scheme for the Power-Flow Analysis of Distribution Networks based on Decoupled Circuit Equivalents in the Phasor Domain 100
Machine Learning for the Uncertainty Quantification of Power Networks 100
Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components 98
A Statistical Assessment of Blending Hydrogen into Gas Networks 97
Synthetic gas networks for the statistical assessment of low-carbon distribution systems 89
Black-Box Modeling of the Maximum Currents Induced in Harnesses During Automotive Radiated Immunity Tests 87
A Data Compression Strategy for the Efficient Uncertainty Quantification of Time-Domain Circuit Responses 87
Statistical crosstalk analysis via probabilistic machine learning surrogates 85
Multiple Delay Identification in Long Interconnects via LS-SVM Regression 84
Application of Different Learning Methods for the Modelling of Microstrip Characteristics 84
Machine learning for the performance assessment of high-speed links 82
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems 80
Application of machine learning techniques to build digital twins for long train dynamics simulations 79
Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices 78
Design and Characterization of a Gradient-Transparent RF Copper Shield for PET Detector Modules in Hybrid MR-PET Imaging 77
Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices with a Large Number of Parameters 77
Enhanced Time-Invariant Linear Model for the EMI Prediction of Switching Circuits 77
Bayesian Optimization of Hyperparameters in Kernel-Based Delay Rational Models 76
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by Means of a Machine Learning Model Coupled with Kriging Regression 74
A fast fuel cell parametric identification approach based on machine learning inverse models 72
f-domain Analysis of Linear Circuits with Time-Varying Parameters via Integral Equations 71
Analysis of Parameter Variability in an Integrated Wireless Power Transfer System via Partial Least-Squares Regression 70
Constructive Signal Approximations for Fast Transient Simulation of Coupled Channels 70
Design of Passive Equalizer for Space Wire Links via Support Vector Machine 69
Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact 67
Compressed Complex-Valued Least Squares Support Vector Machine Regression for Modeling of the Frequency-Domain Responses of Electromagnetic Structures 65
Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper–Graphene On-Chip Interconnects 62
Design of high-speed links via a machine learning surrogate model for the inverse problem 61
SVM and LS-SVM for the Uncertainty Quantification of Complex Systems 59
Combining LS-SVM and GP Regression for the Uncertainty Quantification of the EMI of Power Converters Affected by Several Uncertain Parameters 59
Modeling of Induction in Integrated Power-Gas Systems Due to Geomagnetic Disturbances 56
Machine Learning for the Design of a Distribution Network for High-Speed Signals 55
Vector Fitting of Noisy Frequency Responses via Smoothing Regularization 53
Variability analysis of a boost converter based on an iterative and decoupled circuit implementation of the stochastic Galerkin method 51
A Hierarchical Approach to the Stochastic Analysis of Transmission Lines via Polynomial Chaos 51
Modeling of eye diagram height in high-speed links via support vector machine 50
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications 49
Quantification of Uncontrolled Large Variations of Parameters on System Performance via Support Vector Machine Surrogates 49
A Nonparametric Surrogate Model for Stochastic Crosstalk Analysis Including Confidence Bounds 48
TRIMAGE: A dedicated trimodality (PET/MR/EEG) imaging tool for schizophrenia 47
A Perturbative Stochastic Galerkin Method for the Uncertainty Quantification of Linear Circuits 46
An Automatic Tool for Partial Discharge De-noising via Short Time Fourier Transform and Matrix Factorization 44
Reduced Nodal Admittance Matrix Method for Probabilistic GIC Analysis in Power Grids 43
A Compact Detector for Flexible Partial Discharge Monitoring of 10-kV Overhead Covered Conductor Lines 43
Probabilistic Model of the Effect of a Ground Discontinuity on the Transmission of a Microstrip Interconnect 41
Machine Learning Regression Techniques for the Modeling of Complex Systems: An Overview 38
Inverse Design of Transmission Lines with Deep Learning 37
A probabilistic Gaussian process regression approach to uncertainty quantification in electromagnetic compatibility investigations 34
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier 33
Advanced Techniques for the Modeling and Simulation of Energy Networks 31
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link 30
Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression 29
A high-efficiency portable system for insulation condition assessment of wind farm inter-array cables with double-sided partial discharge detection and localisation 27
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links 25
SPICE‐compliant load flow analysis of power distribution networks with behavioral loads 24
Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams 21
A Generalized Equivalence Method for the Calculation of Low-Frequency EMI on Pipeline Networks Considering Polarization Effect 20
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines 20
Implementation of Adaptive Partial Discharge Denoising in Resource-Limited Embedded Systems via Efficient Time-Frequency Matrix Factorization 19
Surrogate Eye Modeling for the Statistical Assessment of a Smart Textile Interconnect 14
Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression 14
Analysis of the Coupling of Overhead Lines Excited by Indirect Lightning Considering Dispersive Soil Water Percentage 14
Analysis of Parameter Variability in Integrated Devices by Partial Least Squares Regression 13
Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework 12
Totale 9.761
Categoria #
all - tutte 25.515
article - articoli 15.899
book - libri 0
conference - conferenze 8.717
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 50.131


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201.272 90 79 81 163 186 138 153 124 119 59 35 45
2020/20211.024 74 71 50 141 70 105 69 58 162 106 61 57
2021/20221.517 164 66 90 47 86 117 101 37 101 289 175 244
2022/20231.710 169 246 60 129 206 214 131 155 209 17 80 94
2023/2024989 86 102 52 55 30 138 44 42 78 129 112 121
2024/202514 14 0 0 0 0 0 0 0 0 0 0 0
Totale 9.761