SAM: Soumissions récentes
Voici les éléments 236-242 de 6448
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Article dans une revue avec comité de lecture
JACOT, Maurine; ; TORREGROSA JORDAN, Sergio; CORTIAL, Julien; CHINESTA SORIA, Francisco (EDP Sciences, 2024-03)
Resolving Partial Differential Equations (PDEs) through numerical discretization methods like the Finite Element Method presents persistent challenges associated with computational complexity, despite achieving a satisfactory ... -
Article dans une revue avec comité de lecture;BENITEZ, Jose; ; (MDPI AG, 2024-02)
The human brain is arguably the most complex “machine” to ever exist. Its detailed functioning is yet to be fully understood, let alone modelled. Neurological processes have logical signal-processing and biophysical aspects, ...
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Article dans une revue avec comité de lectureGUILHAUMON, Clara; HASCOËT, Nicolas; ; CHINESTA SORIA, Francisco; DAIM, Fatima (MDPI AG, 2024-02)
Machine learning approaches are currently used to understand or model complex physical systems. In general, a substantial number of samples must be collected to create a model with reliable results. However, collecting ...
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Article dans une revue avec comité de lectureJOSEPH, Paux; MORIN, Léo; GELEBART, Lionel; (2024)
The aim of this article is to extend Moulinec and Suquet (1998)’s FFT-based method for heterogeneous elasticity to non-periodic Dirichlet/Neumann boundary conditions. The method is based on a decomposition of the displacement ...
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Article dans une revue avec comité de lectureGHNATIOS, Chady; DI LORENZO, Daniele; ; CUETO, Elias; CHINESTA SORIA, Francisco (American Institute of Mathematical Sciences (AIMS), 2024-07)
Trajectory optimization is a complex process that includes an infinite number of possibilities and combinations. This work focuses on a particular aspect of the trajectory optimization, related to the optimization of a ...
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Article dans une revue avec comité de lectureGHNATIOS, Chady; ; ; CHINESTA SORIA, Francisco (Elsevier BV, 2024-01)
In this paper, we present a general methodology that we call spectral neural network (SNN) which enables to generate automatically knowing a few datapoints (eight at most), a sound and plausible yield surface for any ...
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Article dans une revue avec comité de lectureKALIBE FANEZOUNE, Casimir; DHAHAK, Asma; PEIXINHO, Jorge; EL BARI, HASSAN (Elsevier BV, 2024-09)
This study presents a comparative analysis of different kinetic models applied to the thermochemical pyrolysis of palm empty fruit bunch (PEFB). The kinetic parameters, particularly the activation energy, are determined ...
