Publications

Affichage de 231 à 240 sur 5612


  • Communication dans un congrès

Accelerated NAS via pretrained ensembles and multi-fidelity Bayesian Optimization

Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi

Bayesian optimization (BO) is a black-box search method particularly valued for its sample efficiency. It is especially effective when evaluations are very costly, such as in hyperparameter optimization or Neural Architecture Search (NAS). In this work, we design a fast NAS method based on BO.…

33rd International Conference on Artificial Neural Networks (ICANN), Sep 2024, Lugano, Switzerland. ⟨10.1007/978-3-031-72332-2_17⟩. ⟨hal-04611343⟩

  • Communication dans un congrès

Numerical simulation and analysis of a swirling flow in industrial cyclone separator using a hybrid turbulence model

Mustafa Ishak Benzaza, David Uystepruyst, François Beaubert, Damien Méresse, François Delcourt, Céline Morin

International Conference of Numerical Analysis and Applied Mathematics, Sep 2024, Crete, Greece. ⟨hal-05651452⟩

  • Article dans une revue

Underbody flow control for base drag reduction of a real car model

Laurent Keirsbulck, Olivier Cadot, Marc Lippert, David Boussemart, Jérémy Basley, Sébastien Delprat, Sébastien Paganelli

A 1:5 scale realistic car model of the original Twingo GT but presenting a flat underbody and no exhaust line is tested in a wind tunnel at Reynolds numbers Re = 2.15 × 10^5 to 4.3 × 10^5. A range of underbody flow characteristic velocities Ub = [0.5 − 0.72]U∞ (U∞ the free-stream velocity) is…

Journal of Wind Engineering and Industrial Aerodynamics, 2024, 252, pp.105822. ⟨10.1016/j.jweia.2024.105822⟩. ⟨hal-04819727⟩

  • Article dans une revue

Wet foam flow for cleaning food industry equipment: Role of geometry in maintaining removal efficiency of Bacillus spores.

Heni Dallagi, Carolina Dari, Fameau Anne-Laure, Fethi Aloui, Christine Faille, Thierry Benezech

Journal of Food Engineering, 2024, 376, pp.112064. ⟨10.1016/j.jfoodeng.2024.112064⟩. ⟨hal-05621287⟩