Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Dilmi, Mohamed"'
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 98-136 (2024)
In this article, we investigate the behavior of weak solutions for the three-dimensional Navier-Stokes-Voigt-Brinkman-Forchheimer fluid model with memory and Tresca friction law within a thin domain. We analyze the asymptotic behavior as one dimensio
Externí odkaz:
https://doaj.org/article/9e172140bf62404ebdf02ec47ea95c50
Autor:
Amekoe, Kodjo Mawuena, Dilmi, Mohamed Djallel, Azzag, Hanene, Lebbah, Mustapha, Dagdia, Zaineb Chelly, Jaffre, Gregoire
Apart from the high accuracy of machine learning models, what interests many researchers in real-life problems (e.g., fraud detection, credit scoring) is to find hidden patterns in data; particularly when dealing with their challenging imbalanced cha
Externí odkaz:
http://arxiv.org/abs/2305.11684
Genetic algorithms are a well-known example of bio-inspired heuristic methods. They mimic natural selection by modeling several operators such as mutation, crossover, and selection. Recent discoveries about Epigenetics regulation processes that occur
Externí odkaz:
http://arxiv.org/abs/2303.10154
Normalization is a pre-processing step that converts the data into a more usable representation. As part of the deep neural networks (DNNs), the batch normalization (BN) technique uses normalization to address the problem of internal covariate shift.
Externí odkaz:
http://arxiv.org/abs/2303.07651
Transformer-based conditional generative adversarial network for multivariate time series generation
Autor:
Madane, Abdellah, Dilmi, Mohamed-djallel, Forest, Florent, Azzag, Hanane, Lebbah, Mustapha, Lacaille, Jerome
Conditional generation of time-dependent data is a task that has much interest, whether for data augmentation, scenario simulation, completing missing data, or other purposes. Recent works proposed a Transformer-based Time series generative adversari
Externí odkaz:
http://arxiv.org/abs/2210.02089
Studying the impact of climate change on precipitation is constrained by finding a way to evaluate the evolution of precipitation variability over time. Classical approaches (feature-based) have shown their limitations for this issue due to the inter
Externí odkaz:
http://arxiv.org/abs/1910.10809
Publikováno v:
Demonstratio Mathematica, Vol 55, Iss 1, Pp 437-451 (2022)
This article establishes an asymptotic behavior for the elasticity systems with nonlinear source and dissipative terms in a three-dimensional thin domain, which generalizes some previous works. We consider the limit when the thickness tends to zero,
Externí odkaz:
https://doaj.org/article/b1350102b8d249989c32763589402111
Akademický článek
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Autor:
Dilmi, Mohamed1 mohamed77dilmi@gmail.com, Otmani, Sadok2 otmanisadok@gmail.com
Publikováno v:
Opuscula Mathematica. 2023, Vol. 43 Issue 3, p409-428. 20p.
Autor:
Dilmi, Mohamed Cherif
Aujourd'hui, les circuits d'adaptation d'impédance et de filtrage micro-ondes sont communément constitués par des sections uniformes de lignes de transmission. Leur utilisation dans la conception des circuits intégrés présente une limitation du
Externí odkaz:
http://espace.etsmtl.ca/790/1/DILMI_Mohamed_Cherif.pdf