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Mourad Nachaoui
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2020 – today
- 2024
- [j17]Imane El Malki, François Jauberteau, Amine Laghrib
, Mourad Nachaoui:
A bilevel learning approach for nonlocal image deblurring with variable weights parameter. Digit. Signal Process. 149: 104505 (2024) - [j16]Soufiane Lyaqini, Aissam Hadri, A. Ellahyani, Mourad Nachaoui
:
Primal dual algorithm for solving the nonsmooth Twin SVM. Eng. Appl. Artif. Intell. 128: 107567 (2024) - [j15]Zakaria Khoudi, Mourad Nachaoui, Soufiane Lyaqini:
Identifying the contextual factors related to the reading performance of Moroccan fourth-grade students from a Machine Learning-based Approach. Educ. Inf. Technol. 29(3): 3047-3073 (2024) - [j14]Abdelghani Ghazdali, Aissam Hadri, Amine Laghrib, Mourad Nachaoui:
Poisson noise and Gaussian noise separation through copula theory. Multim. Tools Appl. 83(26): 67927-67952 (2024) - [j13]Mourad Nachaoui
, Issam Lakouam, Imad Hafidi:
Hybrid particle swarm optimization algorithm for text feature selection problems. Neural Comput. Appl. 36(13): 7471-7489 (2024) - 2023
- [j12]Abdelghani Ghazdali, Aissam Hadri, Amine Laghrib, Mourad Nachaoui:
A Blind Poisson-Gaussian Noise Separation Using Learning Copula Densities. Circuits Syst. Signal Process. 42(11): 6564-6590 (2023) - [j11]Abdeljalil Nachaoui, Mourad Nachaoui
:
An hybrid finite element method for a quasi-variational inequality modeling a semiconductor. RAIRO Oper. Res. 57(4): 2197-2207 (2023) - 2022
- [j10]Mourad Nachaoui
, Amine Laghrib
:
An improved bilevel optimization approach for image super-resolution based on a fractional diffusion tensor. J. Frankl. Inst. 359(13): 7165-7195 (2022) - [j9]Mourad Nachaoui
, Abdeljalil Nachaoui, Tamaz Tadumadze:
On the numerical approximation of some inverse problems governed by nonlinear delay differential equation. RAIRO Oper. Res. 56(3): 1553-1569 (2022) - [j8]Lekbir Afraites
, Chorouk Masnaoui, Mourad Nachaoui:
Coupled complex boundary method for a geometric inverse source problem. RAIRO Oper. Res. 56(5): 3689-3709 (2022) - [j7]Lekbir Afraites, Aissam Hadri, Amine Laghrib
, Mourad Nachaoui
:
A weighted parameter identification PDE-constrained optimization for inverse image denoising problem. Vis. Comput. 38(8): 2883-2898 (2022) - 2021
- [j6]Abdeljalil Nachaoui
, Mourad Nachaoui
, Abdelkrim Chakib, M. A. Hilal:
Some novel numerical techniques for an inverse Cauchy problem. J. Comput. Appl. Math. 381: 113030 (2021) - [j5]Aissam Hadri, Lekbir Afraites, Amine Laghrib
, Mourad Nachaoui
:
A novel image denoising approach based on a non-convex constrained PDE: application to ultrasound images. Signal Image Video Process. 15(5): 1057-1064 (2021) - [j4]Mourad Nachaoui
, Lekbir Afraites
, Amine Laghrib
:
A Regularization by Denoising super-resolution method based on genetic algorithms. Signal Process. Image Commun. 99: 116505 (2021) - [c1]Amine El Hossi, Ayoub Skouta, Abdelali Elmoufidi, Mourad Nachaoui
:
Applied CNN for Automatic Diabetic Retinopathy Assessment Using Fundus Images. CBI 2021: 425-433 - [i1]Abdelkrim Chakib, Abdeljalil Nachaoui, Mourad Nachaoui, Hamid Ouaissa:
On a regularization approach for solving the inverse Cauchy Stokes problem. CoRR abs/2112.14141 (2021) - 2020
- [j3]Soufiane Lyaqini, Mohamed Quafafou, Mourad Nachaoui
, Abdelkrim Chakib:
Supervised learning as an inverse problem based on non-smooth loss function. Knowl. Inf. Syst. 62(8): 3039-3058 (2020)
2010 – 2019
- 2019
- [j2]A. Bergam, Abdelkrim Chakib, Abdeljalil Nachaoui
, Mourad Nachaoui
:
Adaptive mesh techniques based on a posteriori error estimates for an inverse Cauchy problem. Appl. Math. Comput. 346: 865-878 (2019) - 2012
- [j1]Abdelkrim Chakib, Abdellatif Ellabib, Abdeljalil Nachaoui
, Mourad Nachaoui
:
A shape optimization formulation of weld pool determination. Appl. Math. Lett. 25(3): 374-379 (2012) - 2011
- [b1]Mourad Nachaoui:
Étude théorique et approximation numérique d'un problème inverse de transfert de la chaleur. (Theoretical Study and numerical approximation of an inverse problem of heat transfer). University of Nantes, France, 2011
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last updated on 2024-07-31 21:40 CEST by the dblp team
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