Voici les éléments 42-48 de 6370

    • Article dans une revue avec comité de lecture
      VERGEZ, Lucas; ccPOLETTE, Arnaud; ccPERNOT, Jean-Philippe (Elsevier BV, 2024-02)
      This paper introduces a new framework for reassembling CAD models of mechanical parts. The generated CAD assemblies are well-constrained, with collision-free parts, and they are ready-to-use for downstream applications. ...
    • Article dans une revue avec comité de lecture
      COGNET, Bruno; ccPERNOT, Jean-Philippe; RIVEST, Louis; DANJOU, Christophe (Informa UK Limited, 2023-08)
      Assessing the digital maturity of companies is essential to prepare for digital transformation in the context of Industry 4.0. Several digital maturity assessment models have emerged in the past few years to support this ...
    • Article dans une revue avec comité de lecture
      ZHANG, Chao; ccPOLETTE, Arnaud; CARASI, Gregorio; DE CHARNACE, Henri; ccPERNOT, Jean-Philippe (2023)
      This paper introduces a two-stage approach that automatically generates 3D CAD models from 2D orthographic drawings. First, a pattern-matching algorithm is proposed to reconstruct a network of 3D edges by matching 2D ...
    • Communication avec acte
      SOH MBOU, Delin Jorel; ccBESSEAU, Benoit; POT, Guillaume; VIGUIER, Joffrey; MARCON, Bertrand; ccMILHE, Louis; REULING, Didier (University of Sopron Press, 2024-05-30)
      The mechanical properties of wood depend on its characteristics at different scales, in particular its knots and the orientation of its fibers. As wood is a highly anisotropic material, its strength and elastic properties ...
    • Ouvrage scientifique
      ORUKELE, Oghenemarho; ccPOLETTE, Arnaud; GONZALEZ LORENZO, Aldo; MARI, Jean-Luc; ccPERNOT, Jean-Philippe (Springer Nature Switzerland, 2024-06)
      Digital twins have the potential to revolutionize the way we design, build and maintain complex systems. They are high-fidelity representations of physical assets in the digital space and thus allow advanced simulations ...
    • Article dans une revue avec comité de lecture
      ccKHALIFÉ, Marc; ccVERGARI, Claudio; LAFAGE, Renaud; ELYSÉE, Jonathan; ccFINOCO, Mikael; ccGILLE, Olivier; ASSI, Ayman; ccSKALLI, Wafa; ccLAFAGE, Virginie; FERRERO, Emmanuelle (Lippincot (Wolters Kluwer Health), 2024-10)
      Study design: Retrospective study of a multicentric prospective database. Objective: This study aimed to determine, in a cohort of healthy volunteers, the ...
    • Article dans une revue avec comité de lecture
      VERGEZ, Lucas; ccPOLETTE, Arnaud; ccPERNOT, Jean-Philippe (Elsevier BV, 2025-01)
      This paper presents a machine learning-based approach to predict kinematic constraints between CAD models that have potentially never been assembled together before. During the learning phase, the algorithm is trained ...