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Affichage des publications 261 à 270 sur 3898 au total

Physics

Measurement of hydrogen release of cultural heritage materials during ion beam analysis using laser-induced breakdown spectroscopy of gas enhanced by solid initiator (GENS-LIBS)

Gas optical emission enhanced by solid initiator (GENS) is designed to support the laser-induced breakdown spectroscopy (LIBS) technique for studying the impact of intense radiation beams on cultural heritage materials. GENS-LIBS generates plasma in…

Xueshi Bai, Thomas Calligaro, Brice Moignard, Sarah Richiero, Vincent Detalle

Applied Physics Letters -

Engineering Sciences

Quantitative Evaluation of Deformation and Wood Mass Alterations due to Relative Humidity Fluctuations: A preliminary study on spruce samples

The understanding of structural alteration mechanisms due to relative humidity impact on organic supports of paintings is of crucial significance for the preventive conservation strategies in order to ensure the long-term preservation of important…

Jessica Auber-Le Saux, Vivi Tornari, Xueshi Bai, Nicolas Wilkie-Chancellier, Michalis Andrianakis, Vincent Detalle

Engineering Sciences

Écoconception en génie électrique. Notions fondamentales

Les dispositifs du génie électrique jouent un rôle clé dans la transition énergétique. Leur usage tend à se généraliser et leur nombre croît rapidement, pouvant entraîner des pollutions importantes et entraver la transition environnementale. L…

Hamid Ben Ahmed, Briac Baudais, Gurvan Jodin

Techniques de l'Ingénieur -

Signal and Image processing

On the False Alarm Probability of the Normalized Matched Filter for Off-Grid Targets: A Geometrical Approach and Its Validity Conditions

Off-grid targets are known to induce a mismatch that dramatically impacts the detection probability of the popular Normalized Matched Filter. To overcome this problem, the unknown target parameter is usually estimated through a Maximum Likelihood…

Pierre Develter, Jonathan Bosse, Olivier Rabaste, Philippe Forster, Jean-Philippe Ovarlez

IEEE Transactions on Signal Processing -

Artificial Intelligence

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors

The distribution of modern deep neural networks (DNNs) weights - crucial for uncertainty quantification and robustness - is an eminently complex object due to its extremely high dimensionality. This paper proposes one of the first large-scale…

Olivier Laurent, Emanuel Aldea, Gianni Franchi

12th International Conference on Learning Representations. ICLR 2024 -

Statistics

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

Uncertainty quantification is critical for deploying deep neural networks (DNNs) in real-world applications. An Auxiliary Uncertainty Estimator (AuxUE) is one of the most effective means to estimate the uncertainty of the main task prediction…

Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea

38th AAAI Conference on Artificial Intelligence (AAAI-24) -