Publicaciones

Affichage de 171 à 180 sur 5527


  • Communication dans un congrès

An Efficient Decentralized Fine-grained Access Control for IoT Ecosystems over NDN

Ferhat Mecerhed, Youcef Imine, Antoine Gallais, Stefan Fischer, Mohamed Ahmed Hail

2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Sep 2024, Split, France. pp.1-6, ⟨10.23919/SoftCOM62040.2024.10721767⟩. ⟨hal-05031066⟩

  • 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⟩

  • 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⟩