Voici les éléments 8-14 de 82

    • Article dans une revue avec comité de lecture
      MORIN, Léo; BRENNER, Renald; DORHMI, Khaoula; ccDERRIEN, Katell (Elsevier, 2021)
      The aim of this paper is to develop a periodic smoother based on splines for FFT-based solvers. Spurious oscillations in FFT-based methods are shown to be due to pseudo-spectral differentiation of discontinuous fields. An ...
    • Article dans une revue avec comité de lecture
      MACRON, Aurélien; DORIDAM, Jennifer; RIVALS, Isabelle; SADEGHINIA, Mohammad Javad; VERNEY, Alexandre; ccROHAN, Pierre-Yves; ccPILLET, Helene (Elsevier, 2020)
      Internal soft tissue strains have been shown to be one of the main factors responsible for the onset of Pressure Ulcers and to be representative of its risk of development. However, the estimation of this parameter using ...
    • Article dans une revue avec comité de lecture
      MUKHINA, Ekatrina; CONNESSON, Nathanael; PAYAN, Yohan; ccROHAN, Pierre-Yves (Taylor & Francis, 2020)
      Our group aims at proposing a protocol for evaluating the subject-specific risk for sacral pressure ulcer (PU). The idea is to model the way soft tissue will be deformed under the external pressure and to compute internal ...
    • Article dans une revue avec comité de lecture
      GASCOIN, Nathalie (2021)
      TEST
    • Article dans une revue avec comité de lecture
      LOIRET, Isabelle; VILLA, Coralie; DAURIAC, Boris; BONNET, Xavier; MARTINET, Noël; PAYSANT, Jean; ccPILLET, Helene (SAGE Publications, 2019)
      Background: Amputee gait is known to be asymmetrical, especially during loading of the lower limb. Monitoring asymmetry could be useful in quantifying patient performance during rehabilitation. Wearable insoles can provide ...
    • Article dans une revue avec comité de lecture
      GONZÁLEZ, David; CUETO, Elías; ccCHINESTA SORIA, Francisco (Elsevier, 2021)
      We present a method for the data-driven learning of physical phenomena whose evolution in time depends on history terms. It is well known that a Mori-Zwanzig-type projection produces a description of the physical phenomena ...
    • Article dans une revue avec comité de lecture
      HERNÁNDEZ, Quercus; BADÍAS, Alberto; GONZÁLEZ, David; CUETO, Elías; ccCHINESTA SORIA, Francisco (Elsevier, 2021)
      We develop a method to learn physical systems from data that employs feedforward neural networks and whose predictions comply with the first and second principles of thermodynamics. The method employs a minimum amount of ...