Search Results for author: Guillaume Povéda

Found 2 papers, 0 papers with code

Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance

no code implementations11 Jan 2024 Mélanie Ducoffe, Guillaume Povéda, Audrey Galametz, Ryma Boumazouza, Marion-Cécile Martin, Julien Baris, Derk Daverschot, Eugene O'Higgins

Surrogate Neural Networks (NN) now routinely serve as substitutes for computationally demanding simulations (e. g., finite element).

Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing

no code implementations8 Jan 2024 Yizhak Elboher, Raya Elsaleh, Omri Isac, Mélanie Ducoffe, Audrey Galametz, Guillaume Povéda, Ryma Boumazouza, Noémie Cohen, Guy Katz

As deep neural networks (DNNs) are becoming the prominent solution for many computational problems, the aviation industry seeks to explore their potential in alleviating pilot workload and in improving operational safety.

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