Model-Based Inverse Problems in Structural Dynamics

Damage Prognosis ◽

10.1002/0470869097.ch7 ◽

2005 ◽

pp. 131-175

Author(s):

Valder Steffen ◽

Domingos A. Rade

Keyword(s):

Inverse Problems ◽

Structural Dynamics ◽

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Assessment of explicit and semi-explicit classes of model-based algorithms for direct integration in structural dynamics

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.5153 ◽

2015 ◽

Vol 107 (1) ◽

pp. 49-73 ◽

Author(s):

Chinmoy Kolay ◽

James M. Ricles

Keyword(s):

Structural Dynamics ◽

Direct Integration ◽

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Formulation and resolution of inverse problems for nonlinear, transient structural dynamics

Revue Européenne des Éléments Finis ◽

10.1080/12506559.2000.10511435 ◽

2000 ◽

Vol 9 (1-3) ◽

pp. 173-197

Author(s):

François M. Hemez ◽

Scott W. Doebling

Keyword(s):

Inverse Problems ◽

Structural Dynamics ◽

Nonlinear Transient

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An iterative algorithm for solving inverse problems in structural dynamics

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.1620190605 ◽

1983 ◽

Vol 19 (6) ◽

pp. 825-829 ◽

Author(s):

Y. M. Chen ◽

Yi Lin

Keyword(s):

Inverse Problems ◽

Iterative Algorithm ◽

Structural Dynamics

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Inverse problems in structural dynamics—II. Applications

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.1620170307 ◽

1981 ◽

Vol 17 (3) ◽

pp. 367-386 ◽

Author(s):

Stepan S. Simonian

Keyword(s):

Inverse Problems ◽

Structural Dynamics

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WiP abstract: Model based design for the real-time solution of inverse problems in cyber-physical systems

2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) ◽

10.1109/iccps.2014.6843730 ◽

2014 ◽

Author(s):

Matthew Harker ◽

Christoph Gugg ◽

Paul O'Leary

Keyword(s):

Inverse Problems ◽

Real Time ◽

Cyber Physical Systems ◽

Abstract Model ◽

Physical Systems ◽

The Real ◽

Model Based ◽

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MoDL: Model-Based Deep Learning Architecture for Inverse Problems

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2018.2865356 ◽

2019 ◽

Vol 38 (2) ◽

pp. 394-405 ◽

Author(s):

Hemant K. Aggarwal ◽

Merry P. Mani ◽

Mathews Jacob

Keyword(s):

Deep Learning ◽

Inverse Problems ◽

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Model-based Bayesian deep learning architecture for linear inverse problems in computational imaging

Electronic Imaging ◽

10.2352/issn.2470-1173.2021.15.coimg-201 ◽

2021 ◽

Keyword(s):

Deep Learning ◽

Inverse Problems ◽

International Symposium ◽

Computational Imaging ◽

Linear Inverse Problems ◽

Model Based ◽

Electronic Imaging

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Computational Imaging XIX proceedings.

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3D Virus Structures from Model-Based Inverse Problems

The Kluwer International Series in Engineering and Computer Science - System Theory: Modeling, Analysis and Control ◽

10.1007/978-1-4615-5223-9_21 ◽

2000 ◽

pp. 287-300

Author(s):

Yibin Zheng ◽

Peter C. Doerschuk

Keyword(s):

Inverse Problems ◽

Model Based ◽

Virus Structures

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Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics

Journal of Computational Physics ◽

10.1016/j.jcp.2016.10.039 ◽

2017 ◽

Vol 329 ◽

pp. 91-125 ◽

Author(s):

I.M. Franck ◽

P.S. Koutsourelakis

Keyword(s):

Inverse Problems ◽

High Dimensional ◽

Dimensional Model ◽

Model Based ◽

Bayesian Inverse Problems

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Random Vectors and Random Fields in High Dimension: Parametric Model-Based Representation, Identification from Data, and Inverse Problems

Handbook of Uncertainty Quantification ◽

10.1007/978-3-319-11259-6_30-1 ◽

2015 ◽

pp. 1-53 ◽

Author(s):

Christian Soize

Keyword(s):

Inverse Problems ◽

High Dimension ◽

Random Fields ◽

Parametric Model ◽

Random Vectors ◽

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