TRINCHERO, RICCARDO
 Distribuzione geografica
Continente #
NA - Nord America 7.943
AS - Asia 6.078
EU - Europa 5.590
SA - Sud America 596
AF - Africa 111
OC - Oceania 20
Continente sconosciuto - Info sul continente non disponibili 3
Totale 20.341
Nazione #
US - Stati Uniti d'America 7.788
SG - Singapore 1.909
IT - Italia 1.388
VN - Vietnam 1.387
CN - Cina 1.222
GB - Regno Unito 879
DE - Germania 775
FR - Francia 657
RU - Federazione Russa 565
BR - Brasile 467
IE - Irlanda 338
KR - Corea 336
HK - Hong Kong 316
IN - India 236
BE - Belgio 150
UA - Ucraina 120
NL - Olanda 119
TR - Turchia 114
CA - Canada 105
FI - Finlandia 99
ID - Indonesia 98
AT - Austria 90
SE - Svezia 79
JP - Giappone 77
PT - Portogallo 53
UZ - Uzbekistan 53
CH - Svizzera 52
ES - Italia 47
PH - Filippine 43
AR - Argentina 41
PL - Polonia 39
BG - Bulgaria 37
IQ - Iraq 36
TH - Thailandia 35
TW - Taiwan 34
BD - Bangladesh 31
ZA - Sudafrica 28
MX - Messico 27
RO - Romania 26
CL - Cile 24
JO - Giordania 24
EC - Ecuador 22
IR - Iran 21
PK - Pakistan 21
AU - Australia 19
IL - Israele 16
MA - Marocco 15
VE - Venezuela 14
LT - Lituania 13
DZ - Algeria 11
GR - Grecia 10
MY - Malesia 10
TN - Tunisia 10
SA - Arabia Saudita 9
HR - Croazia 8
KE - Kenya 8
AE - Emirati Arabi Uniti 7
AZ - Azerbaigian 7
CO - Colombia 7
NP - Nepal 7
PY - Paraguay 7
AL - Albania 6
BO - Bolivia 6
CI - Costa d'Avorio 6
ET - Etiopia 6
JM - Giamaica 6
CD - Congo 5
CZ - Repubblica Ceca 5
DK - Danimarca 5
EG - Egitto 5
PA - Panama 5
PE - Perù 5
BY - Bielorussia 4
EE - Estonia 4
KZ - Kazakistan 4
OM - Oman 4
EU - Europa 3
HN - Honduras 3
HU - Ungheria 3
KG - Kirghizistan 3
LA - Repubblica Popolare Democratica del Laos 3
LB - Libano 3
MN - Mongolia 3
NG - Nigeria 3
NO - Norvegia 3
AM - Armenia 2
AO - Angola 2
BB - Barbados 2
BH - Bahrain 2
CG - Congo 2
DO - Repubblica Dominicana 2
GA - Gabon 2
LU - Lussemburgo 2
LV - Lettonia 2
MU - Mauritius 2
RS - Serbia 2
SN - Senegal 2
SY - Repubblica araba siriana 2
UY - Uruguay 2
XK - ???statistics.table.value.countryCode.XK??? 2
Totale 20.319
Città #
Ashburn 1.052
Singapore 1.046
Dallas 692
Southend 688
San Jose 513
Turin 492
Houston 479
Fairfield 362
Ho Chi Minh City 361
Dublin 335
Hanoi 331
Chandler 311
Seattle 309
Santa Clara 250
Beijing 242
Hong Kong 231
Torino 217
Seoul 208
Princeton 199
Woodbridge 190
Council Bluffs 164
Los Angeles 162
Ann Arbor 161
Boardman 159
Wilmington 154
Brussels 145
Cambridge 138
Fujian 138
Berlin 128
New York 116
Lauterbourg 113
Hefei 111
Buffalo 96
Milan 80
Jakarta 78
San Francisco 78
Frankfurt am Main 69
Haiphong 65
North Bergen 63
Da Nang 61
Izmir 58
Groningen 52
San Ramon 52
Lisbon 51
Jacksonville 48
Nuremberg 48
The Dalles 48
San Donato Milanese 46
Munich 45
Tokyo 45
Des Moines 43
Bern 42
Guangzhou 42
Moscow 41
Shanghai 40
Piscataway 39
São Paulo 37
Fremont 36
Helsinki 36
Sofia 34
Falls Church 32
Rome 32
Vienna 32
Lappeenranta 31
London 31
Turku 31
Columbus 30
Orem 30
Chicago 26
Las Vegas 25
Brooklyn 24
Istanbul 24
Warsaw 24
Montreal 23
Paris 22
Chennai 21
Montréal 21
Tashkent 21
Amsterdam 20
Redwood City 19
Toronto 19
Cupertino 18
Menlo Park 17
Yubileyny 17
Bangkok 16
Norwalk 16
Phoenix 16
Ankara 15
Miami 15
Mumbai 15
Naples 15
San Diego 15
Stockholm 15
Xian 15
Austin 14
Biên Hòa 14
Hải Dương 14
San Antonio 14
Thái Nguyên 14
Zhengzhou 14
Totale 12.497
Nome #
Behavioral, Parameterized, and Broadband Modeling of Wired Interconnects with Internal Discontinuities 685
EMI Prediction of Switching Converters 660
EMI Analysis and Modeling of Switching Circuits 623
Combined Parametric and Worst Case Circuit Analysis via Taylor Models 580
EMI modeling of switching circuits via augmented equivalents and measured data 523
IC Modeling via Machine Learning Regressions: A Data-Driven Approach to SPICE Integration 480
Steady-State Analysis of Switching Power Converters via Augmented Time-Invariant Equivalents 471
Application of Taylor models to the worst-case analysis of stripline interconnects 434
Simulation of buck converters via numerical inverse Laplace transform 421
Steady-State Analysis of Switching Converters via Frequency-Domain Circuit Equivalents 418
Steady-State Response of Periodically Switched Linear Circuits via Augmented Time-Invariant Nodal Analysis 413
TMsim: An Algorithmic Tool for the Parametric and Worst-Case Simulation of Systems with Uncertainties 406
How Affine Arithmetic Helps Beat Uncertainties in Electrical Systems 387
EMI Modeling of DC Motors from Measured Data 302
Compressed SPICE-Compliant IC Models via Machine Learning Kernel Regression 276
Application of machine learning techniques to build digital twins for long train dynamics simulations 274
Self-Validated Time-Domain Analysis of Linear Systems with Bounded Uncertain Parameters 274
Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters 257
Worst-Case analysis of electrical and electronic equipment via affine arithmetic 249
Compressed Machine Learning Models for the Uncertainty Quantification of Power Distribution Networks 240
A Multi-Output Active Learning Method for the Uncertainty Quantification of PCB Lines 237
A Statistical Assessment of Blending Hydrogen into Gas Networks 218
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications 217
An Iterative Scheme for the Power-Flow Analysis of Distribution Networks based on Decoupled Circuit Equivalents in the Phasor Domain 216
Multiple Delay Identification in Long Interconnects via LS-SVM Regression 214
Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper–Graphene On-Chip Interconnects 213
Sensitivity Analysis of Passive Intermodulation Due to Electrical Contacts 212
Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure 207
Introduction of Digital Twins in the Longitudinal Train Dynamics Simulation of Freight Train Air Brake Operations 205
Application of Different Learning Methods for the Modelling of Microstrip Characteristics 204
A Generalized Equivalence Method for the Calculation of Low-Frequency EMI on Pipeline Networks Considering Polarization Effect 200
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links 199
Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression 197
Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components 195
A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression 194
Implementation of Adaptive Partial Discharge Denoising in Resource-Limited Embedded Systems via Efficient Time-Frequency Matrix Factorization 192
Vector Fitting of Noisy Frequency Responses via Smoothing Regularization 191
Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression 189
Bayesian Optimization of Hyperparameters in Kernel-Based Delay Rational Models 187
Modeling of Induction in Integrated Power-Gas Systems Due to Geomagnetic Disturbances 186
Analysis of the Coupling of Overhead Lines Excited by Indirect Lightning Considering Dispersive Soil Water Percentage 185
SPICE-Based Behavioral Models of IC Buffers via Compact Kernel Regressions 182
Synthetic gas networks for the statistical assessment of low-carbon distribution systems 182
Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams 181
Black-Box Modeling of the Maximum Currents Induced in Harnesses During Automotive Radiated Immunity Tests 178
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by means of a Machine Learning Model Coupled with Kriging Regression 178
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines 176
A Compact Detector for Flexible Partial Discharge Monitoring of 10-kV Overhead Covered Conductor Lines 174
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier 173
Validation of a Physical-Based Model for a Spacewire Cable 173
Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact 172
Worst-case EMC investigation of single-wire transmission lines based on taylor arithmetic 171
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by Means of a Machine Learning Model Coupled with Kriging Regression 170
Machine Learning for the Uncertainty Quantification of Power Networks 170
Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks 167
Fast calculation of spatial potentials and robust inversion of field sources for overhead transmission lines in complex terrain 167
A fast fuel cell parametric identification approach based on machine learning inverse models 167
A high-efficiency portable system for insulation condition assessment of wind farm inter-array cables with double-sided partial discharge detection and localisation 164
A Data Compression Strategy for the Efficient Uncertainty Quantification of Time-Domain Circuit Responses 162
Compressed Complex-Valued Least Squares Support Vector Machine Regression for Modeling of the Frequency-Domain Responses of Electromagnetic Structures 161
Unit Cell Design for Space-Fed Surfaces Via Kernel-Based Machine Learning Regression 160
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems 159
Analysis of Parameter Variability in Integrated Devices by Partial Least Squares Regression 156
Constructive Signal Approximations for Fast Transient Simulation of Coupled Channels 156
An Automatic Tool for Partial Discharge De-noising via Short Time Fourier Transform and Matrix Factorization 155
SPICE‐compliant load flow analysis of power distribution networks with behavioral loads 153
Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels 153
Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices with a Large Number of Parameters 150
Analysis of Parameter Variability in an Integrated Wireless Power Transfer System via Partial Least-Squares Regression 147
Modeling of IC Buffers from Channel Responses via Machine Learning Kernel Regression 138
Reduced Nodal Admittance Matrix Method for Probabilistic GIC Analysis in Power Grids 137
Enhanced Time-Invariant Linear Model for the EMI Prediction of Switching Circuits 135
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link 133
Machine Learning Regression Techniques for the Modeling of Complex Systems: An Overview 133
Surrogate Eye Modeling for the Statistical Assessment of a Smart Textile Interconnect 132
Statistical crosstalk analysis via probabilistic machine learning surrogates 132
f-domain Analysis of Linear Circuits with Time-Varying Parameters via Integral Equations 130
Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices 130
Machine learning for the performance assessment of high-speed links 124
TRIMAGE: A dedicated trimodality (PET/MR/EEG) imaging tool for schizophrenia 121
Design of high-speed links via a machine learning surrogate model for the inverse problem 121
Design and Characterization of a Gradient-Transparent RF Copper Shield for PET Detector Modules in Hybrid MR-PET Imaging 118
Combining LS-SVM and GP Regression for the Uncertainty Quantification of the EMI of Power Converters Affected by Several Uncertain Parameters 117
Advanced Techniques for the Modeling and Simulation of Energy Networks 115
Design of Passive Equalizer for Space Wire Links via Support Vector Machine 114
A Perturbative Stochastic Galerkin Method for the Uncertainty Quantification of Linear Circuits 114
Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion 112
A Hybrid Polynomial Chaos Expansion and Gaussian Process Regression Method for Forward Uncertainty Quantification of Integrated Circuits 111
Machine Learning for the Design of a Distribution Network for High-Speed Signals 110
Variability analysis of a boost converter based on an iterative and decoupled circuit implementation of the stochastic Galerkin method 108
SVM and LS-SVM for the Uncertainty Quantification of Complex Systems 105
A Hierarchical Approach to the Stochastic Analysis of Transmission Lines via Polynomial Chaos 102
A Nonparametric Surrogate Model for Stochastic Crosstalk Analysis Including Confidence Bounds 100
A probabilistic Gaussian process regression approach to uncertainty quantification in electromagnetic compatibility investigations 98
Modeling of eye diagram height in high-speed links via support vector machine 96
Quantification of Uncontrolled Large Variations of Parameters on System Performance via Support Vector Machine Surrogates 93
Inverse Design of Transmission Lines with Deep Learning 93
Probabilistic Model of the Effect of a Ground Discontinuity on the Transmission of a Microstrip Interconnect 81
Kernel-Based Machine Learning Surrogates for RF Circulator Design 75
Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework 71
Totale 20.787
Categoria #
all - tutte 53.462
article - articoli 31.515
book - libri 0
conference - conferenze 20.750
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 105.727


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021118 0 0 0 0 0 0 0 0 0 0 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
2024/20253.009 45 341 105 351 231 135 185 250 363 240 391 372
2025/20268.031 490 475 969 803 500 490 1.105 719 1.637 760 83 0
Totale 20.787