Foreword
Article dans une revue avec comité de lecture
Auteur
CUETO, EliasLADEVÈZE, Pierre CHINESTA SORIA, FranciscoRésumé
No abstract
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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)
We propose an efficient method to determine the micro-structural entropic behavior of polymer chains directly from a sufficiently rich non-homogeneous experiment at the continuum scale. The procedure is developed in 2 ...
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Article dans une revue avec comité de lecture; ; ; ;AMMAR, Amine; CUETO, Elias; CHINESTA SORIA, Francisco (Springer Verlag, 2014)
Simulation of all phenomena taking place in a surgical procedure is a formidable task that involves, when possible, the use of supercomputing facilities over long time periods. However, decision taking in the operating ...
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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 lectureAMMAR, Amine; CUETO, Elias; CHINESTA SORIA, Francisco (John Wiley and Sons, 2012)
The numerical solution of the chemical master equation (CME) governing gene regulatory networks and cell signaling processes remains a challenging task owing to its complexity, exponentially growing with the number of ...