Items where Author is "Friedman, Noémi"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Item Type | No Grouping
Number of items: 12.
DateAuthor/TitleDocument Type
2023Bevilacqua, M G and Caroti, G and Croce, P and Friedman, Noémi and Landi, F and Piemonte, A
The Horizon Europe “BUILDCHAIN” Project Presentation: Trustworthy Building Life-Cycle Knowledge Graph for Sustainability and Energy Efficiency
Article
2022Kurent, B and Friedman, Noémi and Ao, W K and Brank, B
Bayesian updating of tall timber building model using modal data
Article
2022Subbian, G and Botelho, e Souza A C and Radespiel, R and Zander, E and Moshagen, T and Friedman, Noémi
Calibration of an Extended Eddy Viscosity Turbulence Model Using Bayesian Update
Article
2022Hadlaczky, Bence Zsombor and Friedman, Noémi and Takarics, Béla and Vanek, Bálint
Comparison of EKF and Neural Network based wing shape estimation of a flexible wing demonstrator
Conference or Workshop Item
2022Li, Y and Friedman, Noémi and Teatini, P and Benczúr, András, ifj and Ye, S
Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumping
Article
2021Kurent, B and Friedman, Noémi and Brank, B
On (Bayesian) Finite Element Model Updating of Civil Engineering Structures by Using Modal Features
Book Section
2021Zander, E and Friedman, Noémi and Matthies, H G
Parameter Identification Based on Conditional Expectation
Book Section
2021Stanic, A and Nikolic, M and Friedman, Noémi and Matthies, H G
Parameter Identification in Dynamic Crack Propagation
Book Section
2021Friedman, Noémi and Zoccarato, C and Zander, E and Matthies, H G
A Worked-out Example of Surrogate-based Bayesian Parameter and Field Identification Methods
Book Section
2021Landi, F and Marsili, F and Friedman, Noémi and Croce, P
gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective
Article
2020Subbian, G and Botelho, e Souza A C and Radespiel, R and Zander, E and Moshagen, T and Friedman, Noémi
Calibration of an extended Eddy Viscosity Turbulence Model using Uncertainty Quantification
Book Section
2020Friedman, Noémi and Labbi, A
Solving Engineering Problems with Machine Learning - Introduction to the Special Theme
Article
This list was generated on Fri Apr 26 03:09:16 2024 CEST.