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Article dans une revue avec comité de lecture
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CUETO, EliasLADEVÈZE, Pierre CHINESTA SORIA, FranciscoAbstract
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Article dans une revue avec comité de lecture; ;CUETO, Elias; CHINESTA SORIA, Francisco (Elsevier Masson, 2020)
The present work aims at analyzing issues related to the data manifold dimensionality. The interest of the study is twofold: (i) first, when too many measurable variables are considered, manifold learning is expected to ...
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Article dans une revue avec comité de lecture; ;CUETO, Elias; CHINESTA SORIA, Francisco (Frontiers Media SA, 2022-05)
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Article dans une revue avec comité de lectureAMMAR, Amine; ; CHINESTA SORIA, Francisco; CUETO, Elias; (Elsevier, 2014)
Optimization of manufacturing processes or structures involves the optimal choice of many parameters (process parameters, material parameters or geometrical parameters). Usual strategies proceed by defining a trial choice ...
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Article dans une revue avec comité de lectureCUETO, Elias; ; AMMAR, Amine; CHINESTA SORIA, Francisco (Springer Link, 2008)
Many models in Science and Engineering are defined in spaces (the so-called conformation spaces) of high dimensionality. In kinetic theory, for instance, the micro scale of a fluid evolves in a space whose number of ...
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Article dans une revue avec comité de lecture;CUETO, Elias; ; ; ABISSET-CHAVANNE, Emmanuelle; AMMAR, Amine; CHINESTA SORIA, Francisco (Tech Science Press, 2018)
Describing the orientation state of the particles is often critical in fibre suspension applications. Macroscopic descriptors, the so-called second-order orientation tensor (or moment) leading the way, are often preferred ...