Nissrine Akkari

According to our database1, Nissrine Akkari authored at least 14 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Manifold Learning - Model Reduction in Engineering
Springer Briefs in Computer Science, Springer, ISBN: 978-3-031-52766-1, 2024

2023
A priori compression of convolutional neural networks for wave simulators.
Eng. Appl. Artif. Intell., November, 2023

2022
Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases.
J. Comput. Phys., 2022

An updated Gappy-POD to capture non-parameterized geometrical variation in fluid dynamics problems.
Adv. Model. Simul. Eng. Sci., 2022

2021
Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN.
CoRR, 2021

Optimal piecewise linear data compression for solutions of parametrized partial differential equations.
CoRR, 2021

Uncertainty quantification for industrial design using dictionaries of reduced order models.
CoRR, 2021

Data augmentation and feature selection for automatic model recommendation in computational physics.
CoRR, 2021

2020
Model order reduction assisted by deep neural networks (ROM-net).
Adv. Model. Simul. Eng. Sci., 2020

Reduced Order Modeling Assisted by Convolutional Neural Network for Thermal Problems with Nonparametrized Geometrical Variability.
Proceedings of the Intelligent Computing, 2020

Deep Convolutional Generative Adversarial Networks Applied to 2D Incompressible and Unsteady Fluid Flows.
Proceedings of the Intelligent Computing, 2020

2014
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., 2014

On the sensitivity of the POD technique for a parameterized quasi-nonlinear parabolic equation.
Adv. Model. Simul. Eng. Sci., 2014

Mathematical and numerical results on the sensitivity of the POD approximation relative to the Burgers equation.
Appl. Math. Comput., 2014


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