Publicaciones

Affichage de 1871 à 1880 sur 16107


  • Communication dans un congrès

Oscillations du ressaut hydraulique circulaire

Aurélien Goerlinger, Michael Baudoin, Farzam Zoueshtiagh, Alexis Duchesne

26emes Rencontres du non-linéaire, RNL 2023, Mar 2023, Paris, France. ⟨hal-03969526⟩

  • Article dans une revue

Exhaled breath condensate as bioanalyte: from collection considerations to biomarker sensing

Sabine Szunerits, Hannes Dӧrfler, Quentin Pagneux, John Daniel, Shekhar Wadekar, Eloise Woitrain, Dennis Ladage, David Montaigne, Rabah Boukherroub

Since the SARS-CoV-2 pandemic, the potential of exhaled breath (EB) to provide valuable information and insight into the health status of a person has been revisited. Mass spectrometry (MS) has gained increasing attention as a powerful analytical tool for clinical diagnostics of exhaled breath...

Analytical and Bioanalytical Chemistry, 2023, 415, pp.27-34. ⟨10.1007/s00216-022-04433-5⟩. ⟨hal-03882123⟩

  • Communication dans un congrès

[Invited] Design of Metamaterials for Acoustic Stealth Using Optimization Tools

Laetitia Roux, Charles Croenne, Monique Pouille, C. Audoly, Anne-Christine Hladky

PHONONICS 2023: 6th International Conference on Phononic Crystals/Metamaterials/Metasurfaces, Phonon Transport, and Topological Phononics, Jun 2023, Manchester (UK), United Kingdom. ⟨hal-04374254⟩

  • Communication dans un congrès

Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens

Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique

Machine Learning (ML) architectures have been applied to several applications that involve sensitive data, where a guarantee of users' data privacy is required. Differentially Private Stochastic Gradient Descent (DPSGD) is the state-of-the-art method to train privacy-preserving models. However...

International Joint Conference on Neural Networks (IJCNN 2023), Jun 2023, Gold Coast, Australia. ⟨10.1109/IJCNN54540.2023.10191743⟩. ⟨hal-04202435⟩