Uncertainty Modeling for Engineering Applications - PoliTO Springer Series
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783030048693, 9783030048709

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Hybrid Possibilistic-Probabilistic Approach to Uncertainty Quantification in Electromagnetic Compatibility Models

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_10 ◽

2018 ◽

pp. 157-172

Author(s):

Nicola Toscani ◽

Flavia Grassi ◽

Giordano Spadacini ◽

Sergio A. Pignari

Keyword(s):

Uncertainty Quantification ◽

Electromagnetic Compatibility ◽

Probabilistic Approach

Download Full-text

Measurement Uncertainty Cannot Always Be Calculated

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_11 ◽

2018 ◽

pp. 173-184

Author(s):

Carlo F. M. Carobbi

Keyword(s):

Measurement Uncertainty

Download Full-text

Weighted Reduced Order Methods for Parametrized Partial Differential Equations with Random Inputs

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_2 ◽

2018 ◽

pp. 27-40 ◽

Cited By ~ 2

Author(s):

Luca Venturi ◽

Davide Torlo ◽

Francesco Ballarin ◽

Gianluigi Rozza

Keyword(s):

Partial Differential Equations ◽

Differential Equations ◽

Partial Differential ◽

Random Inputs ◽

Reduced Order ◽

Parametrized Partial Differential Equations ◽

Reduced Order Methods

Download Full-text

On the Various Applications of Stochastic Collocation in Computational Electromagnetics

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_9 ◽

2018 ◽

pp. 135-155

Author(s):

Dragan Poljak ◽

Silvestar Sesnic ◽

Mario Cvetkovic ◽

Anna Susnjara ◽

Pierre Bonnet ◽

...

Keyword(s):

Computational Electromagnetics ◽

Stochastic Collocation

Download Full-text

Application of Polynomial Chaos Expansions for Uncertainty Estimation in Angle-of-Arrival Based Localization

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_7 ◽

2018 ◽

pp. 103-117 ◽

Cited By ~ 1

Author(s):

Thomas Van der Vorst ◽

Mathieu Van Eeckhaute ◽

Aziz Benlarbi-Delaï ◽

Julien Sarrazin ◽

François Quitin ◽

...

Keyword(s):

Polynomial Chaos ◽

Uncertainty Estimation ◽

Angle Of Arrival ◽

Polynomial Chaos Expansions

Download Full-text

Quadrature Strategies for Constructing Polynomial Approximations

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_1 ◽

2018 ◽

pp. 1-25 ◽

Cited By ~ 1

Author(s):

Pranay Seshadri ◽

Gianluca Iaccarino ◽

Tiziano Ghisu

Keyword(s):

Polynomial Approximations

Download Full-text

Reducing the Statistical Complexity of EMC Testing: Improvements for Radiated Experiments Using Stochastic Collocation and Bootstrap Methods

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_8 ◽

2018 ◽

pp. 119-133

Author(s):

Chaouki Kasmi ◽

Sébastien Lalléchère ◽

Sébastien Girard ◽

José Lopes-Esteves ◽

Pierre Bonnet ◽

...

Keyword(s):

Stochastic Collocation ◽

Bootstrap Methods ◽

Statistical Complexity

Download Full-text

Data-Efficient Sensitivity Analysis with Surrogate Modeling

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_4 ◽

2018 ◽

pp. 55-69 ◽

Cited By ~ 1

Author(s):

Tom Van Steenkiste ◽

Joachim van der Herten ◽

Ivo Couckuyt ◽

Tom Dhaene

Keyword(s):

Sensitivity Analysis ◽

Surrogate Modeling

Download Full-text

Surrogate Modeling for Fast Experimental Assessment of Specific Absorption Rate

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_5 ◽

2018 ◽

pp. 71-87

Author(s):

Günter Vermeeren ◽

Wout Joseph ◽

Luc Martens

Keyword(s):

Absorption Rate ◽

Specific Absorption Rate ◽

Surrogate Modeling ◽

Experimental Assessment ◽

Specific Absorption

Download Full-text

A New Approach for State Estimation

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series ◽

10.1007/978-3-030-04870-9_3 ◽

2018 ◽

pp. 41-54

Author(s):

Eduardo Souza de Cursi ◽

Rafael Holdorf Lopez ◽

André Gustavo Carlon

Keyword(s):

State Estimation ◽

New Approach

Download Full-text

Uncertainty Modeling for Engineering Applications - PoliTO Springer SeriesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Hybrid Possibilistic-Probabilistic Approach to Uncertainty Quantification in Electromagnetic Compatibility Models

Measurement Uncertainty Cannot Always Be Calculated

Weighted Reduced Order Methods for Parametrized Partial Differential Equations with Random Inputs

On the Various Applications of Stochastic Collocation in Computational Electromagnetics

Application of Polynomial Chaos Expansions for Uncertainty Estimation in Angle-of-Arrival Based Localization

Quadrature Strategies for Constructing Polynomial Approximations

Reducing the Statistical Complexity of EMC Testing: Improvements for Radiated Experiments Using Stochastic Collocation and Bootstrap Methods

Data-Efficient Sensitivity Analysis with Surrogate Modeling

Surrogate Modeling for Fast Experimental Assessment of Specific Absorption Rate

A New Approach for State Estimation

Uncertainty Modeling for Engineering Applications - PoliTO Springer Series
Latest Publications