RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano

ENTEZAMI, ALIREZA
 Distribuzione geografica
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Continente #
AS - Asia 3.460
NA - Nord America 2.788
EU - Europa 2.715
SA - Sud America 624
AF - Africa 181
OC - Oceania 30
Totale 9.798
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Nazione #
US - Stati Uniti d'America 2.613
SG - Singapore 1.111
RU - Federazione Russa 1.081
CN - Cina 923
IT - Italia 551
BR - Brasile 511
IE - Irlanda 357
VN - Vietnam 311
KR - Corea 296
JP - Giappone 173
NL - Olanda 171
HK - Hong Kong 138
CA - Canada 129
IR - Iran 127
GB - Regno Unito 107
FR - Francia 100
DE - Germania 96
FI - Finlandia 65
IN - India 65
MA - Marocco 55
AR - Argentina 51
ID - Indonesia 50
CI - Costa d'Avorio 40
NO - Norvegia 39
PL - Polonia 39
BD - Bangladesh 36
TR - Turchia 35
AU - Australia 28
MX - Messico 28
TW - Taiwan 25
IQ - Iraq 21
BJ - Benin 19
EC - Ecuador 19
PH - Filippine 19
AT - Austria 18
PK - Pakistan 18
ZA - Sudafrica 18
MY - Malesia 17
SA - Arabia Saudita 14
EG - Egitto 13
ES - Italia 11
BE - Belgio 10
JO - Giordania 10
KE - Kenya 10
AE - Emirati Arabi Uniti 9
TH - Thailandia 9
UZ - Uzbekistan 9
CL - Cile 8
IL - Israele 8
MO - Macao, regione amministrativa speciale della Cina 8
PY - Paraguay 8
SE - Svezia 8
VE - Venezuela 8
AZ - Azerbaigian 7
CO - Colombia 7
GR - Grecia 7
PE - Perù 7
CH - Svizzera 6
DK - Danimarca 6
DZ - Algeria 6
ET - Etiopia 6
NP - Nepal 6
PT - Portogallo 6
TN - Tunisia 6
HU - Ungheria 5
LV - Lettonia 5
KZ - Kazakistan 4
RO - Romania 4
SI - Slovenia 4
UA - Ucraina 4
GT - Guatemala 3
HN - Honduras 3
PA - Panama 3
UY - Uruguay 3
BO - Bolivia 2
CZ - Repubblica Ceca 2
EE - Estonia 2
GA - Gabon 2
GE - Georgia 2
JM - Giamaica 2
LB - Libano 2
LT - Lituania 2
NZ - Nuova Zelanda 2
PR - Porto Rico 2
QA - Qatar 2
RS - Serbia 2
AD - Andorra 1
AM - Armenia 1
AO - Angola 1
BA - Bosnia-Erzegovina 1
BH - Bahrain 1
BS - Bahamas 1
BY - Bielorussia 1
BZ - Belize 1
CR - Costa Rica 1
HR - Croazia 1
IS - Islanda 1
KH - Cambogia 1
MD - Moldavia 1
ML - Mali 1
Totale 9.789
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Città #
Singapore 727
Ashburn 676
Hefei 363
Dublin 355
San Jose 340
Seoul 252
Milan 233
Tokyo 153
Moscow 116
Council Bluffs 101
Ho Chi Minh City 100
Dallas 95
Santa Clara 92
North Charleston 84
Hong Kong 83
Boardman 77
Hanoi 75
Amsterdam 74
The Dalles 73
Chandler 70
Beijing 66
Los Angeles 64
Lauterbourg 61
São Paulo 53
Casablanca 51
Piscataway 51
Kent 48
Montreal 45
Las Vegas 43
Vancouver 43
Abidjan 39
Buffalo 39
Helsinki 38
Trondheim 36
Columbus 34
Warsaw 32
Bergamo 30
Frankfurt am Main 30
Jakarta 30
New York 27
Lecco 26
London 25
Lappeenranta 22
Rio de Janeiro 22
Chicago 20
Delft 20
Rome 20
Cotonou 19
Chennai 18
Guangzhou 18
Houston 18
Turin 18
Fairfield 17
Tehran 17
Wilmington 17
Orem 16
Shanghai 16
Dong Ket 15
Nanjing 15
Redwood City 15
Medford 14
San Diego 14
Belo Horizonte 13
Cardiff 13
Istanbul 13
Munich 13
Seattle 13
Brooklyn 12
Lawrence 12
Phoenix 12
Amersfoort 11
Haiphong 11
Nuremberg 11
Amman 10
Bologna 10
Nairobi 10
Porto Alegre 10
Redondo Beach 10
Xi'an 10
Bangkok 9
Brasília 9
Cambridge 9
Denver 9
Manchester 9
Ottawa 9
Sydney 9
Taipei 9
Atlanta 8
Berlin 8
Cairo 8
Fremont 8
Kowloon 8
Macao 8
Melbourne 8
Taiping 8
Ulsan 8
Vienna 8
Washington 8
Zhengzhou 8
Amstelveen 7
Totale 5.770
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Nome #
Early Damage Detection for Partially Observed Structures with an Autoregressive Spectrum and Distance-Based Methodology 479
A Non-Parametric Mixed Learning Technique for Mitigating Environmental Effects on Structural Modal Frequencies 418
Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning: A Practical Strategy via Structural Displacements from Synthetic Aperture Radar Images 219
A novelty detection method for large-scale structures under varying environmental conditions 219
Low-order feature extraction technique and unsupervised learning for SHM under high-dimensional data 216
AI-assisted generative workflow for the early-stage design of sustainable tall buildings based on their structural behaviour 215
A Multi-stage Machine Learning Methodology for Health Monitoring of Largely Unobserved Structures Under Varying Environmental Conditions 207
Application of regression and remote sensing technology for determining sufficiency of contact-based sensors in long-term SHM of civil structures 176
A systematic correlation analysis for regression model selection: Application to bridge response prediction using contact and remote sensor systems 175
Deep learning approach to structural performance prediction of tall buildings in seismic areas 172
Exploring structural sustainability of tall buildings subject to seismic loads 169
An innovative predictive method based on supervised teacher-student learning for forecasting limited structural responses of long-span bridges from satellite images 166
Big data analytics and structural health monitoring: A statistical pattern recognition-based approach 162
An innovative hybrid strategy for structural health monitoring by modal flexibility and clustering methods 161
A Comparative Study on Structural Displacement Prediction by Kernelized Regressors under Limited Training Data 156
A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling 154
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection 151
Machine learning techniques for diagrid building design: Architectural-Structural correlations with feature selection and data augmentation 148
Mitigation of unmeasured environmental and operational variability in long-term bridge health monitoring by unsupervised statistical learning 147
Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks 147
A kernelized deep regression method to simultaneously predict and normalize displacement responses of long-span bridges via limited synthetic aperture radar images 145
Review on smartphone sensing technology for structural health monitoring 144
Online hybrid learning methods for real-time structural health monitoring using remote sensing and small displacement data 143
Detection of Partially Structural Collapse Using Long‐Term Small Displacement Data from Satellite Images 139
Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning 139
Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology 138
A Parsimonious Yet Robust Regression Model for Predicting Limited Structural Responses of Remote Sensing 134
Vibration-based structural health monitoring of bridges based on a new unsupervised machine learning technique under varying environmental conditions 134
On continuous health monitoring of bridges under serious environmental variability by an innovative multi-task unsupervised learning method 129
Bridge health monitoring in environmental variability by new clustering and threshold estimation methods 128
Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques 127
Displacement prediction for long-span bridges via limited remote sensing images: An adaptive ensemble regression method 127
Removal of freezing effects from modal frequencies of civil structures for structural health monitoring 126
An Unsupervised Learning Approach for Early Damage Detection by Time Series Analysis and Deep Neural Network to Deal with Output-Only (Big) Data 125
An iterative order determination method for time-series modeling in structural health monitoring 124
A hybrid sensitivity function and Lanczos bidiagonalization-Tikhonov method for structural model updating: Application to a full-scale bridge structure 124
A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns 124
On the data-driven damage detection of offshore structures using statistical and clustering techniques under various uncertainty sources: An experimental study 124
Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised Regression Models 120
Structural Health Monitoring for Condition Assessment Using Efficient Supervised Learning Techniques 119
Health monitoring of large‐scale civil structures: An approach based on data partitioning and classical multidimensional scaling 117
Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning 114
Regression Tree Ensemble to Forecast Thermally Induced Responses of Long-Span Bridges 113
Application of supervised learning to validation of damage detection 112
A new iterative model updating technique based on least squares minimal residual method using measured modal data 111
Bridge collapse prediction by small displacement data from satellite images under long-term monitoring 110
Improving feature extraction via time series modeling for structural health monitoring based on unsupervised learning methods 106
A sensitivity-based finite element model updating based on unconstrained optimization problem and regularized solution methods 106
Prediction of long-term dynamic responses of a heritage masonry building under thermal effects by automated kernel-based regression modeling 104
Probabilistic data self-clustering based on semi-parametric extreme value theory for structural health monitoring 104
An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification 103
Real-time health monitoring of civil structures by online hybrid learning techniques using remote sensing and small displacement data 101
Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods 101
Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures 100
Ensemble learning-based structural health monitoring by Mahalanobis distance metrics 99
Probabilistic damage localization by empirical data analysis and symmetric information measure 95
Damage detection by updating structural models based on linear objective functions 93
Early warning of structural damage via manifold learning-aided data clustering and non-parametric probabilistic anomaly detection 91
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching 90
Non-parametric empirical machine learning for short-term and long-term structural health monitoring 90
Short-term damage alarming with limited vibration data in bridge structures: A fully non-parametric machine learning technique 89
Structural health monitoring by probability density function of autoregressive-based damage features and fast distance correlation method 85
Experimental investigation of seismic behavior of RC double-column medium-height bents with rocking link beams 84
Damage localization in shear buildings by direct updating of physical properties 83
Robust decision-making by a new statistical feature extraction method reliable to noise and uncertainty 81
Damage localization under ambient excitations and non-stationary vibration signals by a new hybrid algorithm for feature extraction and multivariate distance correlation methods 81
Condition Assessment of Civil Structures for Structural Health Monitoring Using Supervised Learning Classification Methods 78
Structural health monitoring by a new hybrid feature extraction and dynamic time warping methods under ambient vibration and non-stationary signals 77
New sensitivity-based methods for structural damage diagnosis by least square minimal residual techniques 73
Energy-based damage localization under ambient vibration and non-stationary signals by ensemble empirical mode decomposition and Mahalanobis-squared distance 73
Machine learning‐aided prediction of windstorm‐induced vibration responses of long‐span suspension bridges 73
On model-based damage detection by an enhanced sensitivity function of modal flexibility and LSMR-Tikhonov method under incomplete noisy modal data 72
Structural damage detection by a new iterative regularization method and an improved sensitivity function 69
Damage detection in structural systems by improved sensitivity of modal strain energy and Tikhonov regularization method 65
Experimental Investigation on the Seismic Behavior of RC Double‐Column Medium‐Height Bents Retrofitted With SCEB‐Us 44
Integrating Dynamic Seismic Simulation in Architectural Design: A Parametric Approach for Tall Buildings with Outer Diagrids 40
Totale 9.897
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Categoria #
all - tutte 30.185
article - articoli 18.899
book - libri 940
conference - conferenze 7.057
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 3.289
Totale 60.370
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202172 0 0 0 0 0 0 0 0 0 32 17 23
2021/2022120 15 13 7 3 5 3 13 11 11 10 16 13
2022/2023658 14 9 9 21 46 74 14 89 285 15 42 40
2023/2024855 27 87 76 50 57 24 38 77 159 90 80 90
2024/20252.067 57 64 92 144 217 185 93 174 305 105 282 349
2025/20266.025 958 1.148 573 719 339 260 716 374 427 511 0 0
Totale 9.897