Reduced-order modeling for cardiac electrophysiology. Application to parameter identification

International Journal for Numerical Methods in Biomedical Engineering ◽

10.1002/cnm.2465 ◽

2012 ◽

Vol 28 (6-7) ◽

pp. 727-744 ◽

Author(s):

M. Boulakia ◽

E. Schenone ◽

J-F. Gerbeau

Keyword(s):

Parameter Identification ◽

Cardiac Electrophysiology ◽

Reduced Order Modeling ◽

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Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning

International Journal for Numerical Methods in Biomedical Engineering ◽

10.1002/cnm.3450 ◽

2021 ◽

Author(s):

Stefano Pagani ◽

Andrea Manzoni

Keyword(s):

Machine Learning ◽

Sensitivity Analysis ◽

Uncertainty Quantification ◽

Cardiac Electrophysiology ◽

Reduced Order Modeling ◽

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Reduced order modeling and parameter identification of a building energy system model through an optimization routine

Applied Energy ◽

10.1016/j.apenergy.2015.10.137 ◽

2016 ◽

Vol 162 ◽

pp. 1010-1023 ◽

Author(s):

V.S.K.V. Harish ◽

Arun Kumar

Keyword(s):

Parameter Identification ◽

Energy System ◽

Building Energy ◽

Reduced Order Modeling ◽

System Model ◽

Reduced Order ◽

Energy System Model ◽

Optimization Routine ◽

Building Energy System

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Reduced Order Modeling for Cardiac Electrophysiology and Mechanics: New Methodologies, Challenges and Perspectives

SEMA SIMAI Springer Series - Mathematical and Numerical Modeling of the Cardiovascular System and Applications ◽

10.1007/978-3-319-96649-6_6 ◽

2018 ◽

pp. 115-166

Author(s):

Andrea Manzoni ◽

Diana Bonomi ◽

Alfio Quarteroni

Keyword(s):

Cardiac Electrophysiology ◽

Reduced Order Modeling ◽

Reduced Order ◽

New Methodologies

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POD/DEIM Reduced-Order Modeling of Time-Fractional Partial Differential Equations with Applications in Parameter Identification

Journal of Scientific Computing ◽

10.1007/s10915-017-0433-8 ◽

2017 ◽

Vol 74 (1) ◽

pp. 220-243 ◽

Author(s):

Hongfei Fu ◽

Hong Wang ◽

Zhu Wang

Keyword(s):

Partial Differential Equations ◽

Differential Equations ◽

Parameter Identification ◽

Reduced Order Modeling ◽

Fractional Partial Differential Equations ◽

Partial Differential ◽

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Reduced-order Modeling of Parameter Variations for Parameter Identification in Rubber Curing

Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics ◽

10.5220/0009865106590666 ◽

2020 ◽

Author(s):

Tobias Frank ◽

Mark Wielitzka ◽

Matthias Dagen ◽

Tobias Ortmaier

Keyword(s):

Parameter Identification ◽

Reduced Order Modeling ◽

Reduced Order ◽

Parameter Variations

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“On-the-fly” Parameter Identification for Dynamic Systems Control, Using Interval Computations and Reduced-Order Modeling

Fuzzy Logic in Intelligent System Design - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-67137-6_33 ◽

2017 ◽

pp. 293-299

Author(s):

Leobardo Valera ◽

Angel Garcia Contreras ◽

Martine Ceberio

Keyword(s):

Parameter Identification ◽

Dynamic Systems ◽

Reduced Order Modeling ◽

Interval Computations ◽

Reduced Order ◽

Systems Control

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REDUCED-ORDER MODELING OF TURBULENT FLOWS IN MULTISCALE DOMAINS

Equipment ◽

10.1615/ihtc13.trb.100 ◽

2006 ◽

Author(s):

J. Rambo ◽

Y. Joshi

Keyword(s):

Turbulent Flows ◽

Reduced Order Modeling ◽

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Integrated Toolkit for Closed-Loop Flow Control: Flow Simulation, Reduced-Order Modeling, and Control Design (Invited)

38th Fluid Dynamics Conference and Exhibit ◽

10.2514/6.2008-3980 ◽

2008 ◽

Author(s):

Tim Colonius ◽

Kunihiko Taira ◽

Won Joe ◽

Clancy Rowley ◽

Sunil Ahuja

Keyword(s):

Flow Control ◽

Closed Loop ◽

Control Design ◽

Flow Simulation ◽

Reduced Order Modeling ◽

Control Flow ◽

Modeling And Control ◽

Reduced Order ◽

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Lattice Boltzmann Flow Simulations With Applications of Reduced Order Modeling Techniques.

10.2523/17457-ms ◽

2014 ◽

Author(s):

Donald L. Brown ◽

Jun Li ◽

Victor M. Calo ◽

Mehdi Ghommem ◽

Yalchin Efendiev

Keyword(s):

Lattice Boltzmann ◽

Reduced Order Modeling ◽

Reduced Order ◽

Flow Simulations ◽

Modeling Techniques

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Reduced Order Modeling for Rapid Simulations of Blast and Rollover Events of a Ground Vehicle and its Occupants Using Rigid Body Dynamic Models

10.21236/ada585048 ◽

2013 ◽

Author(s):

Jaisankar Ramalingam ◽

Sherri Chandra ◽

Ravi Thyagarajan

Keyword(s):

Dynamic Models ◽

Reduced Order Modeling ◽

Ground Vehicle ◽

Reduced Order ◽

Rigid Body Dynamic ◽

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