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Article dans une revue avec comité de lectureThe 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 lectureAMORES, Víctor J.; MONTÁNS, Francisco J.;
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 ... -
Article dans une revue avec comité de lectureALFARO, Icíar; GONZALEZ, David; BORDEU, Felipe; LEYGUE, Adrien;
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 ... -
Article dans une revue avec comité de lectureMany 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 lectureThe 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 ...