Nos laboratoires: Soumissions récentes

Voici les éléments 2444-2450 de 6547

    • Complex Algorithms for Data-Driven Model Learning in Science and Engineering 
      Article dans une revue avec comité de lecture
      MONTÁNS, Francisco Javier; GÓMEZ-BOMBARELLI, Rafael; KUTZ, Jose Nathan; ccCHINESTA SORIA, Francisco (Wiley, 2019)
      In their first centuries, scientific and engineering develop-ments were dominated by empirical understanding which encapsulated the first paradigm of scientific discovery. After the Renaissance, the scientific revolution ...
    • Modeling of Thermoplastic Welding 
      Chapitre d'ouvrage scientifique
      LE CORRE, Steven; ccREGNIER, Gilles (wiley, 2016)
      Optimizing healing of welded thermoplastic material or matrix requires the understanding of physical mechanisms involved in welding processes, which are mainly surface rearrangement and surface approach, wetting of surfaces, ...
    • Effect of UV-aging on the mechanical and fracture behavior of low density polyethylene 
      Article dans une revue avec comité de lecture
      RODRIGUEZ, Ana K.; MANSOOR, Bilal; AYOUB, Georges; BENZERGA, Amine A.; ccCOLIN, Xavier (Elsevier, 2020)
      In polyethylene, a transient, oxidation-induced strengthening is often observed over a narrow range of UV radiation dose. In addition, plastic deformation may not be volume-preserving due to cavitation. Here, we employ a ...
    • Full reciprocal-space mapping up to 2000 K under controlled atmosphere: the multipurpose QMAX furnace 
      Article dans une revue avec comité de lecture
      GUINEBRETIÈRE, René; ARNAUD, Stephan; BLANC, Nils; BOUDET, Nathalie; THUNE, Elsa; BABONNEAU, David; CASTELNAU, Olivier (International Union of Crystallography, 2020)
      A furnace that covers the temperature range from room temperature up to 2000 K has been designed, built and implemented on the D2AM beamline at the ESRF. The QMAX furnace is devoted to the full exploration of the reciprocal ...
    • Physically sound, self-learning digital twins for sloshing fluids 
      Article dans une revue avec comité de lecture
      MOYA, Beatriz; GONZALEZ, David; ccCUETO, Elias; ALFARO, Icíar; ccCHINESTA SORIA, Francisco (Public Library of Science, 2020)
      In this paper, a novel self-learning digital twin strategy is developed for fluid sloshing phenomena. This class of problems is of utmost importance for robotic manipulation of fluids, for instance, or, in general, in ...
    • An Efficient Human Activity Recognition Technique Based on Deep Learning 
      Article dans une revue avec comité de lecture
      KHELALEF, Aziz; ABABSA, Fakhreddine; BENOUDJIT, Nabil (MAIK Nauka/Interperiodica (МАИК Наука/Интерпериодика), 2019)
      In this paper, we present a new deep learning-based human activity recognition technique. First, we track and extract human body from each frame of the video stream. Next, we abstract human silhouettes and use them to ...
    • Offset and anteversion reconstruction after cemented and uncemented total hip arthroplasty: an evaluation with the low-dose EOS system comparing two- and three-dimensional imaging 
      Article dans une revue avec comité de lecture
      LAZENNEC, Jean-Yves; BRUSSON, Adrien; FOLINAIS, Dominique; ROUSSEAU, Marc-Antoine; POUR, Aidin Eslam (Springer Verlag, 2015)
      Purpose Accurate evaluation of femoral offset is difficult with conventional anteroposterior (AP) X-rays. The EOS imaging system is a system that makes the acquisition of simultaneous and orthogonal AP and lateral images ...