Nissrine Akkari

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 11

Top Topics

Differential Equations

Feature Selection

Convolutional Neural Networks

Top Venues

Adv. Model. Simul. Eng. Sci.

J. Comput. Phys.

Publications

Hamza Boukraichi, Nissrine Akkari, Fabien Casenave, David Ryckelynck
A priori compression of convolutional neural networks for wave simulators. Eng. Appl. Artif. Intell. 126 (2023)
Hamza Boukraichi, Nissrine Akkari, Fabien Casenave, David Ryckelynck
A priori compression of convolutional neural networks for wave simulators. CoRR (2023)
Nissrine Akkari, Fabien Casenave, David Ryckelynck, Christian Rey
An updated Gappy-POD to capture non-parameterized geometrical variation in fluid dynamics problems. Adv. Model. Simul. Eng. Sci. 9 (1) (2022)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, Ali Ketata, David Ryckelynck
Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases. J. Comput. Phys. 458 (2022)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck
Data augmentation and feature selection for automatic model recommendation in computational physics. CoRR (2021)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck, Christian Rey
Uncertainty quantification for industrial design using dictionaries of reduced order models. CoRR (2021)
Hamza Boukraichi, Nissrine Akkari, Fabien Casenave, David Ryckelynck
Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN. CoRR (2021)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck
Optimal piecewise linear data compression for solutions of parametrized partial differential equations. CoRR (2021)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck
Model order reduction assisted by deep neural networks (ROM-net). Adv. Model. Simul. Eng. Sci. 7 (1) (2020)
Nissrine Akkari, Fabien Casenave, Marc-Eric Perrin, David Ryckelynck
Deep Convolutional Generative Adversarial Networks Applied to 2D Incompressible and Unsteady Fluid Flows. SAI (2) (2020)
Fabien Casenave, Nissrine Akkari, David Ryckelynck
Reduced Order Modeling Assisted by Convolutional Neural Network for Thermal Problems with Nonparametrized Geometrical Variability. SAI (2) (2020)
Nissrine Akkari, Aziz Hamdouni, Erwan Liberge, Mustapha Jazar
A mathematical and numerical study of the sensitivity of a reduced order model by POD (ROM-POD), for a 2D incompressible fluid flow. J. Comput. Appl. Math. 270 (2014)
Nissrine Akkari, Aziz Hamdouni, Mustapha Jazar
Mathematical and numerical results on the sensitivity of the POD approximation relative to the Burgers equation. Appl. Math. Comput. 247 (2014)
Nissrine Akkari, Aziz Hamdouni, Erwan Liberge, Mustapha Jazar
On the sensitivity of the POD technique for a parameterized quasi-nonlinear parabolic equation. Adv. Model. Simul. Eng. Sci. 1 (1) (2014)