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laparoscopique CNRS Neural network architecture enhancement for unsupervised learning with Deep Image Prior INSERM
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with up to 10 9 inertial particles are performed for Stokes numbers ranging from 0.05 to 5.0. A finite-time
the Voronoi cells and their rotation is proposed. For inertial particles the probability distribution functions
the divergence and of the curl deviate from that for fluid particles. The PDFs of the particle vorticity
sales are pronounced and intermittently distributed for small Stokes numbers. This is joint work with Thibault
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Mercredi - 10 50-11 10 Developing an empirical model for added turbulence in a wake of tidal turbine SHARIFF
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supramolecular interactions in biomimetic collagen gels for improved mechanical responses BRUN Julie - Sciences
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2016-2019 Increased Safety Robust Certification for ditching of Aircrafts Helicopters SARAH est un projet
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suivant Girod B. and De Haan P. More or Better A Model for Changes in Household Greenhouse Gas Emissions due
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suivant Girod B. and De Haan P. More or Better A Model for Changes in Household Greenhouse Gas Emissions due
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Visual Analytics WG IV 5 de l International Society for Photogrammetry and Remote Sensing depuis 2025. Elle
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2013-2016 Technological and Innovative Platform for Environmental Efficiency Coordinateur IRSTV Partenaires
University of Aveiro Portugal Netherlands Organisation for Applied Scientific Research TNO Pays Bas Department
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Development and Implementation of Numerical Model for Analyzing Pavement Deflection Behaviour under the
Eiffel CNRS Vendredi 11 30-11 50 Domain of validation for various beam models HARIZ Marwan Co-auteurs LE MARREC
