PORTO @ Archivio Istituzionale della Ricerca

TRINCHERO, RICCARDO
 Distribuzione geografica
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Continente #
NA - Nord America 6.710
EU - Europa 4.667
AS - Asia 3.479
SA - Sud America 467
AF - Africa 66
OC - Oceania 20
Continente sconosciuto - Info sul continente non disponibili 3
Totale 15.412
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Nazione #
US - Stati Uniti d'America 6.597
SG - Singapore 1.377
IT - Italia 1.273
CN - Cina 1.125
GB - Regno Unito 852
DE - Germania 737
FR - Francia 531
BR - Brasile 386
IE - Irlanda 334
KR - Corea 224
BE - Belgio 147
VN - Vietnam 129
RU - Federazione Russa 122
UA - Ucraina 115
TR - Turchia 110
IN - India 103
HK - Hong Kong 92
FI - Finlandia 91
ID - Indonesia 90
CA - Canada 89
AT - Austria 80
SE - Svezia 75
NL - Olanda 61
CH - Svizzera 51
JP - Giappone 48
UZ - Uzbekistan 48
ES - Italia 41
BG - Bulgaria 36
PL - Polonia 33
AR - Argentina 30
RO - Romania 23
IR - Iran 21
JO - Giordania 21
ZA - Sudafrica 21
AU - Australia 19
EC - Ecuador 17
IL - Israele 15
MX - Messico 13
IQ - Iraq 12
BD - Bangladesh 11
CL - Cile 10
LT - Lituania 10
PK - Pakistan 10
DZ - Algeria 9
GR - Grecia 9
MY - Malesia 9
HR - Croazia 6
MA - Marocco 6
BO - Bolivia 5
CD - Congo 5
CI - Costa d'Avorio 5
CZ - Repubblica Ceca 5
PT - Portogallo 5
TN - Tunisia 5
TW - Taiwan 5
VE - Venezuela 5
AL - Albania 4
DK - Danimarca 4
EE - Estonia 4
PE - Perù 4
PH - Filippine 4
PY - Paraguay 4
AZ - Azerbaigian 3
CO - Colombia 3
EG - Egitto 3
ET - Etiopia 3
EU - Europa 3
KZ - Kazakistan 3
NG - Nigeria 3
NO - Norvegia 3
NP - Nepal 3
PA - Panama 3
AM - Armenia 2
AO - Angola 2
HN - Honduras 2
HU - Ungheria 2
JM - Giamaica 2
KG - Kirghizistan 2
LA - Repubblica Popolare Democratica del Laos 2
LU - Lussemburgo 2
MN - Mongolia 2
OM - Oman 2
RS - Serbia 2
SA - Arabia Saudita 2
TH - Thailandia 2
UY - Uruguay 2
XK - ???statistics.table.value.countryCode.XK??? 2
AE - Emirati Arabi Uniti 1
BN - Brunei Darussalam 1
BS - Bahamas 1
BY - Bielorussia 1
CG - Congo 1
CR - Costa Rica 1
DO - Repubblica Dominicana 1
GE - Georgia 1
GM - Gambi 1
GT - Guatemala 1
GY - Guiana 1
KE - Kenya 1
LK - Sri Lanka 1
Totale 15.406
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Città #
Ashburn 837
Singapore 739
Dallas 691
Southend 688
Houston 475
Turin 434
Fairfield 362
Dublin 331
Chandler 311
Seattle 308
Santa Clara 237
Beijing 229
Torino 217
Princeton 199
Woodbridge 190
Ann Arbor 161
Boardman 159
Wilmington 154
Brussels 145
Council Bluffs 142
Cambridge 138
Fujian 138
Berlin 128
Hefei 111
Seoul 107
New York 94
Buffalo 93
Jakarta 77
San Francisco 76
Milan 74
Los Angeles 65
Izmir 58
San Ramon 52
Ho Chi Minh City 51
Frankfurt am Main 49
Jacksonville 48
San Donato Milanese 46
Munich 45
Bern 42
Des Moines 42
Guangzhou 40
Nuremberg 40
Piscataway 39
Hong Kong 37
Fremont 36
Shanghai 36
Sofia 34
São Paulo 33
Falls Church 32
Helsinki 31
Turku 31
Hanoi 29
Tokyo 29
Lappeenranta 28
Rome 28
Vienna 28
Las Vegas 25
North Bergen 25
Istanbul 24
London 24
Brooklyn 22
Chicago 21
Columbus 21
Montréal 21
Paris 19
Redwood City 19
San Jose 19
Cupertino 18
Warsaw 18
Menlo Park 17
Montreal 17
Toronto 17
Yubileyny 17
Norwalk 16
Tashkent 16
San Diego 15
Xian 15
Ankara 14
Naples 14
San Antonio 14
Zhengzhou 14
Amsterdam 13
Austin 13
Mountain View 13
Phoenix 13
The Dalles 13
Wuhan 13
Cangzhou 12
Dearborn 12
Gilroy 12
Lauterbourg 12
Miami 12
Moscow 12
Redmond 12
Stockholm 12
Xi'an 12
Zaporozhye 12
Basking Ridge 11
Chennai 11
Naaldwijk 11
Totale 9.767
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Nome #
Behavioral, Parameterized, and Broadband Modeling of Wired Interconnects with Internal Discontinuities 625
EMI Prediction of Switching Converters 586
EMI Analysis and Modeling of Switching Circuits 556
Combined Parametric and Worst Case Circuit Analysis via Taylor Models 524
EMI modeling of switching circuits via augmented equivalents and measured data 475
Steady-State Analysis of Switching Power Converters via Augmented Time-Invariant Equivalents 402
IC Modeling via Machine Learning Regressions: A Data-Driven Approach to SPICE Integration 398
Application of Taylor models to the worst-case analysis of stripline interconnects 374
Steady-State Analysis of Switching Converters via Frequency-Domain Circuit Equivalents 373
Steady-State Response of Periodically Switched Linear Circuits via Augmented Time-Invariant Nodal Analysis 370
Simulation of buck converters via numerical inverse Laplace transform 365
TMsim: An Algorithmic Tool for the Parametric and Worst-Case Simulation of Systems with Uncertainties 357
How Affine Arithmetic Helps Beat Uncertainties in Electrical Systems 352
EMI Modeling of DC Motors from Measured Data 264
Self-Validated Time-Domain Analysis of Linear Systems with Bounded Uncertain Parameters 232
Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters 210
Worst-Case analysis of electrical and electronic equipment via affine arithmetic 204
Compressed Machine Learning Models for the Uncertainty Quantification of Power Distribution Networks 195
Application of machine learning techniques to build digital twins for long train dynamics simulations 186
A Statistical Assessment of Blending Hydrogen into Gas Networks 173
Compressed SPICE-Compliant IC Models via Machine Learning Kernel Regression 172
An Iterative Scheme for the Power-Flow Analysis of Distribution Networks based on Decoupled Circuit Equivalents in the Phasor Domain 165
Sensitivity Analysis of Passive Intermodulation Due to Electrical Contacts 162
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications 156
A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression 151
Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure 150
A Multi-Output Active Learning Method for the Uncertainty Quantification of PCB Lines 145
Multiple Delay Identification in Long Interconnects via LS-SVM Regression 145
Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression 144
Modeling of Induction in Integrated Power-Gas Systems Due to Geomagnetic Disturbances 144
Application of Different Learning Methods for the Modelling of Microstrip Characteristics 144
Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper–Graphene On-Chip Interconnects 144
Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components 144
A Generalized Equivalence Method for the Calculation of Low-Frequency EMI on Pipeline Networks Considering Polarization Effect 141
Synthetic gas networks for the statistical assessment of low-carbon distribution systems 141
Vector Fitting of Noisy Frequency Responses via Smoothing Regularization 140
Worst-case EMC investigation of single-wire transmission lines based on taylor arithmetic 139
Black-Box Modeling of the Maximum Currents Induced in Harnesses During Automotive Radiated Immunity Tests 136
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by means of a Machine Learning Model Coupled with Kriging Regression 136
Bayesian Optimization of Hyperparameters in Kernel-Based Delay Rational Models 133
Validation of a Physical-Based Model for a Spacewire Cable 132
Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels 131
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links 127
Machine Learning for the Uncertainty Quantification of Power Networks 126
Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression 126
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems 124
Implementation of Adaptive Partial Discharge Denoising in Resource-Limited Embedded Systems via Efficient Time-Frequency Matrix Factorization 123
A Data Compression Strategy for the Efficient Uncertainty Quantification of Time-Domain Circuit Responses 123
A fast fuel cell parametric identification approach based on machine learning inverse models 122
Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams 121
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by Means of a Machine Learning Model Coupled with Kriging Regression 118
Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact 118
Analysis of the Coupling of Overhead Lines Excited by Indirect Lightning Considering Dispersive Soil Water Percentage 116
Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices with a Large Number of Parameters 115
Constructive Signal Approximations for Fast Transient Simulation of Coupled Channels 115
Compressed Complex-Valued Least Squares Support Vector Machine Regression for Modeling of the Frequency-Domain Responses of Electromagnetic Structures 115
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines 114
A Compact Detector for Flexible Partial Discharge Monitoring of 10-kV Overhead Covered Conductor Lines 114
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier 113
Analysis of Parameter Variability in an Integrated Wireless Power Transfer System via Partial Least-Squares Regression 113
A high-efficiency portable system for insulation condition assessment of wind farm inter-array cables with double-sided partial discharge detection and localisation 112
Statistical crosstalk analysis via probabilistic machine learning surrogates 111
SPICE-Based Behavioral Models of IC Buffers via Compact Kernel Regressions 110
Fast calculation of spatial potentials and robust inversion of field sources for overhead transmission lines in complex terrain 108
Machine learning for the performance assessment of high-speed links 107
SPICE‐compliant load flow analysis of power distribution networks with behavioral loads 106
f-domain Analysis of Linear Circuits with Time-Varying Parameters via Integral Equations 105
Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices 104
An Automatic Tool for Partial Discharge De-noising via Short Time Fourier Transform and Matrix Factorization 102
Analysis of Parameter Variability in Integrated Devices by Partial Least Squares Regression 100
Enhanced Time-Invariant Linear Model for the EMI Prediction of Switching Circuits 100
Design and Characterization of a Gradient-Transparent RF Copper Shield for PET Detector Modules in Hybrid MR-PET Imaging 99
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link 97
Reduced Nodal Admittance Matrix Method for Probabilistic GIC Analysis in Power Grids 95
Machine Learning Regression Techniques for the Modeling of Complex Systems: An Overview 95
Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks 93
Introduction of Digital Twins in the Longitudinal Train Dynamics Simulation of Freight Train Air Brake Operations 93
Design of Passive Equalizer for Space Wire Links via Support Vector Machine 87
Surrogate Eye Modeling for the Statistical Assessment of a Smart Textile Interconnect 85
Design of high-speed links via a machine learning surrogate model for the inverse problem 85
Combining LS-SVM and GP Regression for the Uncertainty Quantification of the EMI of Power Converters Affected by Several Uncertain Parameters 81
Advanced Techniques for the Modeling and Simulation of Energy Networks 80
Modeling of IC Buffers from Channel Responses via Machine Learning Kernel Regression 79
SVM and LS-SVM for the Uncertainty Quantification of Complex Systems 79
A Hierarchical Approach to the Stochastic Analysis of Transmission Lines via Polynomial Chaos 78
A Nonparametric Surrogate Model for Stochastic Crosstalk Analysis Including Confidence Bounds 77
Variability analysis of a boost converter based on an iterative and decoupled circuit implementation of the stochastic Galerkin method 72
Modeling of eye diagram height in high-speed links via support vector machine 71
Quantification of Uncontrolled Large Variations of Parameters on System Performance via Support Vector Machine Surrogates 71
Machine Learning for the Design of a Distribution Network for High-Speed Signals 69
A Perturbative Stochastic Galerkin Method for the Uncertainty Quantification of Linear Circuits 68
A probabilistic Gaussian process regression approach to uncertainty quantification in electromagnetic compatibility investigations 67
TRIMAGE: A dedicated trimodality (PET/MR/EEG) imaging tool for schizophrenia 63
Inverse Design of Transmission Lines with Deep Learning 63
Unit Cell Design for Space-Fed Surfaces Via Kernel-Based Machine Learning Regression 60
Probabilistic Model of the Effect of a Ground Discontinuity on the Transmission of a Microstrip Interconnect 60
A Hybrid Polynomial Chaos Expansion and Gaussian Process Regression Method for Forward Uncertainty Quantification of Integrated Circuits 57
Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion 56
Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework 48
Totale 15.852
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Categoria #
all - tutte 45.195
article - articoli 27.098
book - libri 0
conference - conferenze 17.005
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 89.298
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021688 0 0 0 0 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
2024/20253.009 45 341 105 351 231 135 185 250 363 240 391 372
2025/20263.096 490 475 969 803 359 0 0 0 0 0 0 0
Totale 15.852