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  KEYWORD

Keyword: STRUCTURAL HEALTH MONITORING

esteroTESI ALL'ESTERO A computationally efficient implementation of the Loewner Framework for modal analysis of aerospace and civil structures  CIVERA MARCO
esteroTESI ALL'ESTERO An enhanced output-only implementation of the Loewner Framework for the multi-input multi-output system identification of aerospace and civil structures.  CIVERA MARCO
Arduino and Raspberry Pi for Experimental Laboratory Structural Health Monitoring  MARANO GIUSEPPE CARLO  ArtIStE Artificial Intelligence In Structural Eng http://www.civilml.polito.it/
Construction of an experimental setup useful for validating time-frequency identification methods for non-linear systems  CERAVOLO ROSARIO  Earthquake Engineering & Dynamics lab
esteroTESI ALL'ESTERO Damage assessment to a reinforced concrete beam-column joint through ambient vibrations measurements  CIVERA MARCO
Deep Learning for Vehicle Identification on Viaducts  JAHIER PAGLIARI DANIELE  DAUIN - GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA  ELECTRONIC DESIGN AUTOMATION - EDA  GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA
F.e.m. modelling of the Dome of the Cathedral of Novara  BERTAGNOLI GABRIELE
azienda TESI AZIENDA Finite Element Modelling, Dynamic Identification, and Model Updating of a viaduct from Autostrade per l'Italia  CIVERA MARCO
Finite element modelling of a capacitive stress sensor  BERTAGNOLI GABRIELE
Modeling, simulation and testing of damaged composite structures  GHERLONE MARCO  MAININI LAURA  02-AESDO Group
Modeling, simulation and testing of damaged composite structures  GHERLONE MARCO  MAININI LAURA  02-AESDO Group
Modeling, simulation and testing of damaged composite structures  MAININI LAURA  02-AESDO Group
Monitoring of historic buildings using satellite data  CERAVOLO ROSARIO  Earthquake Engineering & Dynamics lab  Responsible Risk Resilience interdepartmental Centre (R3C) www.r3c.polito.it  Rete dei Laboratori Universitari di Ingegneria Sismica (ReLUIS)
Python implementation for boosting PyOMA and PyOMA_GUI software for Structural Health Monitoring  MARANO GIUSEPPE CARLO  ArtIStE Artificial Intelligence In Structural Eng http://www.civilml.polito.it/
Soil-structure modeling for prediction of collapse scenarios using satellite data  CERAVOLO ROSARIO  Earthquake Engineering & Dynamics lab
Structural Health Monitoring (SHM) using Building Information Modeling (BIM)  OSELLO ANNA  TONDOLO FRANCESCO
esteroTESI ALL'ESTERO Structural Health Monitoring for damage detection with AI approaches  MARANO GIUSEPPE CARLO
Structural Health Monitoring through video-processing technologies  CERAVOLO ROSARIO  Earthquake Engineering & Dynamics lab
Verification tool for prestressed concrete bridge decks subjected to monitoring  BERTAGNOLI GABRIELE




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