PORTO @ Archivio Istituzionale della Ricerca

TRINCHERO, RICCARDO
 Distribuzione geografica
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Continente #
NA - Nord America 8.592
AS - Asia 6.359
EU - Europa 5.908
SA - Sud America 608
Continente sconosciuto - Info sul continente non disponibili 468
AF - Africa 114
OC - Oceania 20
Totale 22.069
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Nazione #
US - Stati Uniti d'America 8.384
SG - Singapore 1.958
IT - Italia 1.668
VN - Vietnam 1.388
CN - Cina 1.229
GB - Regno Unito 883
DE - Germania 776
FR - Francia 663
RU - Federazione Russa 565
BR - Brasile 472
IE - Irlanda 338
KR - Corea 336
HK - Hong Kong 324
IN - India 236
BD - Bangladesh 233
BE - Belgio 150
NL - Olanda 122
UA - Ucraina 120
CA - Canada 118
TR - Turchia 114
FI - Finlandia 99
ID - Indonesia 98
SE - Svezia 97
AT - Austria 90
JP - Giappone 80
UZ - Uzbekistan 60
CH - Svizzera 54
PT - Portogallo 53
ES - Italia 47
AR - Argentina 45
PH - Filippine 43
PL - Polonia 39
BG - Bulgaria 37
IQ - Iraq 36
TH - Thailandia 36
TW - Taiwan 35
MX - Messico 32
ZA - Sudafrica 28
RO - Romania 26
CL - Cile 24
JO - Giordania 24
EC - Ecuador 23
IR - Iran 21
PK - Pakistan 21
AU - Australia 19
MA - Marocco 17
IL - Israele 16
VE - Venezuela 14
JM - Giamaica 13
LT - Lituania 13
DZ - Algeria 11
GR - Grecia 11
TN - Tunisia 11
MY - Malesia 10
SA - Arabia Saudita 10
CO - Colombia 8
CR - Costa Rica 8
HR - Croazia 8
KE - Kenya 8
AE - Emirati Arabi Uniti 7
AL - Albania 7
AZ - Azerbaigian 7
NI - Nicaragua 7
NP - Nepal 7
PY - Paraguay 7
BO - Bolivia 6
CI - Costa d'Avorio 6
ET - Etiopia 6
CD - Congo 5
CZ - Repubblica Ceca 5
DK - Danimarca 5
EE - Estonia 5
EG - Egitto 5
GT - Guatemala 5
HN - Honduras 5
PA - Panama 5
PE - Perù 5
PR - Porto Rico 5
BY - Bielorussia 4
KZ - Kazakistan 4
OM - Oman 4
AM - Armenia 3
EU - Europa 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
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
Totale 21.571
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Città #
Ashburn 1.133
Singapore 1.053
Dallas 700
Southend 688
San Jose 643
Turin 533
Houston 480
Fairfield 362
Ho Chi Minh City 361
Dublin 336
Hanoi 331
Chandler 311
Seattle 311
Santa Clara 267
Beijing 243
Council Bluffs 241
Hong Kong 236
Torino 217
Seoul 208
Princeton 199
Woodbridge 190
Los Angeles 184
Boardman 171
Ann Arbor 161
Wilmington 154
Brussels 145
Cambridge 138
Fujian 138
Milan 135
New York 134
Berlin 128
Lauterbourg 113
Hefei 111
Buffalo 106
Jakarta 78
San Francisco 78
Frankfurt am Main 69
The Dalles 66
Haiphong 65
North Bergen 63
Da Nang 61
Izmir 58
Rome 57
Groningen 52
San Ramon 52
Lisbon 51
Jacksonville 49
Nuremberg 48
Tokyo 47
San Donato Milanese 46
Munich 45
Des Moines 43
Bern 42
Guangzhou 42
Moscow 41
Shanghai 40
Piscataway 39
São Paulo 37
Fremont 36
Helsinki 36
London 34
Sofia 34
Chicago 33
Columbus 32
Falls Church 32
Orem 32
Vienna 32
Lappeenranta 31
Turku 31
Brooklyn 28
Tashkent 28
Las Vegas 27
Montreal 25
Istanbul 24
Warsaw 24
Naples 23
Toronto 23
Paris 22
Chennai 21
Montréal 21
Amsterdam 20
Redwood City 19
Cupertino 18
Miami 18
Phoenix 18
Menlo Park 17
Yubileyny 17
Bangkok 16
Norwalk 16
San Diego 16
Ankara 15
Atlanta 15
Frisco 15
Mumbai 15
San Antonio 15
Stockholm 15
Xian 15
Austin 14
Biên Hòa 14
Hải Dương 14
Totale 13.081
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Nome #
Behavioral, Parameterized, and Broadband Modeling of Wired Interconnects with Internal Discontinuities 696
EMI Prediction of Switching Converters 670
EMI Analysis and Modeling of Switching Circuits 649
Combined Parametric and Worst Case Circuit Analysis via Taylor Models 595
EMI modeling of switching circuits via augmented equivalents and measured data 530
IC Modeling via Machine Learning Regressions: A Data-Driven Approach to SPICE Integration 523
Steady-State Analysis of Switching Power Converters via Augmented Time-Invariant Equivalents 483
Simulation of buck converters via numerical inverse Laplace transform 469
Application of Taylor models to the worst-case analysis of stripline interconnects 441
Steady-State Analysis of Switching Converters via Frequency-Domain Circuit Equivalents 436
Steady-State Response of Periodically Switched Linear Circuits via Augmented Time-Invariant Nodal Analysis 425
TMsim: An Algorithmic Tool for the Parametric and Worst-Case Simulation of Systems with Uncertainties 415
How Affine Arithmetic Helps Beat Uncertainties in Electrical Systems 394
EMI Modeling of DC Motors from Measured Data 306
Compressed SPICE-Compliant IC Models via Machine Learning Kernel Regression 293
Application of machine learning techniques to build digital twins for long train dynamics simulations 292
Self-Validated Time-Domain Analysis of Linear Systems with Bounded Uncertain Parameters 282
A Multi-Output Active Learning Method for the Uncertainty Quantification of PCB Lines 280
Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters 276
Worst-Case analysis of electrical and electronic equipment via affine arithmetic 256
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links 252
Implementation of Adaptive Partial Discharge Denoising in Resource-Limited Embedded Systems via Efficient Time-Frequency Matrix Factorization 251
Compressed Machine Learning Models for the Uncertainty Quantification of Power Distribution Networks 248
Introduction of Digital Twins in the Longitudinal Train Dynamics Simulation of Freight Train Air Brake Operations 241
Analysis of the Coupling of Overhead Lines Excited by Indirect Lightning Considering Dispersive Soil Water Percentage 241
A Statistical Assessment of Blending Hydrogen into Gas Networks 228
Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams 223
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications 220
An Iterative Scheme for the Power-Flow Analysis of Distribution Networks based on Decoupled Circuit Equivalents in the Phasor Domain 220
Multiple Delay Identification in Long Interconnects via LS-SVM Regression 220
Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper–Graphene On-Chip Interconnects 217
SPICE-Based Behavioral Models of IC Buffers via Compact Kernel Regressions 215
Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression 215
Sensitivity Analysis of Passive Intermodulation Due to Electrical Contacts 215
Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure 214
A Generalized Equivalence Method for the Calculation of Low-Frequency EMI on Pipeline Networks Considering Polarization Effect 208
Fast calculation of spatial potentials and robust inversion of field sources for overhead transmission lines in complex terrain 206
Application of Different Learning Methods for the Modelling of Microstrip Characteristics 206
Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression 205
Bayesian Optimization of Hyperparameters in Kernel-Based Delay Rational Models 202
Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components 202
A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression 198
Vector Fitting of Noisy Frequency Responses via Smoothing Regularization 196
Unit Cell Design for Space-Fed Surfaces Via Kernel-Based Machine Learning Regression 196
Synthetic gas networks for the statistical assessment of low-carbon distribution systems 192
Modeling of Induction in Integrated Power-Gas Systems Due to Geomagnetic Disturbances 189
Validation of a Physical-Based Model for a Spacewire Cable 185
Black-Box Modeling of the Maximum Currents Induced in Harnesses During Automotive Radiated Immunity Tests 185
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier 184
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines 182
A Compact Detector for Flexible Partial Discharge Monitoring of 10-kV Overhead Covered Conductor Lines 182
A high-efficiency portable system for insulation condition assessment of wind farm inter-array cables with double-sided partial discharge detection and localisation 181
Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks 180
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by means of a Machine Learning Model Coupled with Kriging Regression 180
Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact 177
Worst-case EMC investigation of single-wire transmission lines based on taylor arithmetic 174
Machine Learning for the Uncertainty Quantification of Power Networks 174
Statistical Analysis of the Efficiency of an Integrated Voltage Regulator by Means of a Machine Learning Model Coupled with Kriging Regression 172
An Automatic Tool for Partial Discharge De-noising via Short Time Fourier Transform and Matrix Factorization 168
A fast fuel cell parametric identification approach based on machine learning inverse models 168
A Data Compression Strategy for the Efficient Uncertainty Quantification of Time-Domain Circuit Responses 167
Surrogate Eye Modeling for the Statistical Assessment of a Smart Textile Interconnect 164
Constructive Signal Approximations for Fast Transient Simulation of Coupled Channels 164
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems 163
Compressed Complex-Valued Least Squares Support Vector Machine Regression for Modeling of the Frequency-Domain Responses of Electromagnetic Structures 163
SPICE‐compliant load flow analysis of power distribution networks with behavioral loads 160
Analysis of Parameter Variability in Integrated Devices by Partial Least Squares Regression 159
Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels 158
Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices with a Large Number of Parameters 156
Modeling of IC Buffers from Channel Responses via Machine Learning Kernel Regression 151
Analysis of Parameter Variability in an Integrated Wireless Power Transfer System via Partial Least-Squares Regression 150
Reduced Nodal Admittance Matrix Method for Probabilistic GIC Analysis in Power Grids 141
Enhanced Time-Invariant Linear Model for the EMI Prediction of Switching Circuits 141
Machine Learning Regression Techniques for the Modeling of Complex Systems: An Overview 140
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link 138
Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices 134
Statistical crosstalk analysis via probabilistic machine learning surrogates 134
f-domain Analysis of Linear Circuits with Time-Varying Parameters via Integral Equations 133
A Hybrid Polynomial Chaos Expansion and Gaussian Process Regression Method for Forward Uncertainty Quantification of Integrated Circuits 131
Design of high-speed links via a machine learning surrogate model for the inverse problem 130
Machine learning for the performance assessment of high-speed links 127
TRIMAGE: A dedicated trimodality (PET/MR/EEG) imaging tool for schizophrenia 127
Advanced Techniques for the Modeling and Simulation of Energy Networks 123
Design and Characterization of a Gradient-Transparent RF Copper Shield for PET Detector Modules in Hybrid MR-PET Imaging 121
Combining LS-SVM and GP Regression for the Uncertainty Quantification of the EMI of Power Converters Affected by Several Uncertain Parameters 121
A Perturbative Stochastic Galerkin Method for the Uncertainty Quantification of Linear Circuits 117
Design of Passive Equalizer for Space Wire Links via Support Vector Machine 116
Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion 115
Machine Learning for the Design of a Distribution Network for High-Speed Signals 114
Variability analysis of a boost converter based on an iterative and decoupled circuit implementation of the stochastic Galerkin method 111
SVM and LS-SVM for the Uncertainty Quantification of Complex Systems 111
A Nonparametric Surrogate Model for Stochastic Crosstalk Analysis Including Confidence Bounds 107
A Hierarchical Approach to the Stochastic Analysis of Transmission Lines via Polynomial Chaos 104
A probabilistic Gaussian process regression approach to uncertainty quantification in electromagnetic compatibility investigations 100
Modeling of eye diagram height in high-speed links via support vector machine 99
Quantification of Uncontrolled Large Variations of Parameters on System Performance via Support Vector Machine Surrogates 97
Inverse Design of Transmission Lines with Deep Learning 97
Kernel-Based Machine Learning Surrogates for RF Circulator Design 96
Probabilistic Model of the Effect of a Ground Discontinuity on the Transmission of a Microstrip Interconnect 85
Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework 79
Totale 21.967
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Categoria #
all - tutte 58.901
article - articoli 34.397
book - libri 0
conference - conferenze 23.232
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 116.530
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.353 0 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
2025/20268.741 490 475 969 803 500 490 1.105 719 1.637 760 306 487
2026/2027572 344 228 0 0 0 0 0 0 0 0 0 0
Totale 22.069