SAM: Soumissions récentes
Voici les éléments 1729-1735 de 6416
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Article dans une revue avec comité de lecture; ; ;
SKALLI, Wafa; (Elsevier BV, 2020)
Background The magnetic resonance imaging (MRI) parameters used to diagnose rotator cuff tears are weakly correlated to shoulder function. Our hypothesis was that adding 3-dimensional morphologic parameters resulting from ... -
Article dans une revue avec comité de lecture; ;SKALLI, Wafa; (Elsevier BV, 2014)
The Gait Deviation Index (GDI) is a dimensionless parameter that evaluates the deviation of kinematic gait from a control database. The GDI can be used to stratify gait pathology in children with cerebral palsy (CP). In ...
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Article dans une revue avec comité de lecture; ; ;CHINESTA SORIA, Francisco; CUETO, Elias (Elsevier, 2021)
We present an algorithm to learn the relevant latent variables of a large-scale discretized physical system and predict its time evolution using thermodynamically-consistent deep neural networks. Our method relies on sparse ...
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Article dans une revue avec comité de lecture;AMMAR, Amine; ; CHINESTA SORIA, Francisco (2021)
Space separation within the Proper Generalized Decomposition—PGD—rationale allows solving high dimensional problems as a sequence of lower dimensional ones. In our former works, different geometrical transformations were ...
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Article dans une revue avec comité de lectureCUETO, Elias; ; ; GHNATIOS, Chady; CHINESTA SORIA, Francisco (Springer Science and Business Media LLC, 2020)
Non-intrusive approaches for the construction of computational vademecums face different challenges, especially when a parameter variation affects the physics of the problem considerably. In these situations, classical ...
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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 (Springer Science and Business Media LLC, 2020)
Lithium-ion batteries are widely used in the automobile industry (electric vehicles and hybrid electric vehicles) due to their high energy and power density. However, this raises new safety and reliability challenges which ...
