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A methodology to design measurement systems when multiple model classes are plausible

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A methodology to design measurement systems when multiple model classes are plausible

Graph Chatbot

Chattez avec Graph Search

Measurement-system design for structural identification

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems

Measurement data interpretation and prediction for optimal management of bridges

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Measurement-system design framework using multi-objective optimization for bridge load testing”

Convolutional Relational Machine for Group Activity Recognition

Quantification of the conditional value of SHM data for the fatigue safety evaluation of a road viaduct

Mapping Affinities in Academic Organizations

Measurement-system design for structural identification

Measurement data interpretation and prediction for optimal management of bridges

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Measurement-system design framework using multi-objective optimization for bridge load testing”

Convolutional Relational Machine for Group Activity Recognition

Quantification of the conditional value of SHM data for the fatigue safety evaluation of a road viaduct

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Mapping Affinities in Academic Organizations