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Publications

Affichage des publications 791 à 800 sur 4032 au total

Signal and Image processing

Data fusion and non-destructive testing of damaged fiber-reinforced laminates

Efficient strategies for non-destructive testing of damaged composite laminates modeled from homogenization of fiber-reinforced polymers could in- volve fused data. Here, those are from electromagnetic and infrared thermographic modalities, for…

Valentin Noël, Thomas Rodet, Dominique Lesselier

25th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE'22) -

Physics

On the False Alarm Probability of the Normalized Matched Filter for Off-Grid Target Detection

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

ICASSP 2022 -2022 IEEE International Conference on Acoustics, Speech and Signal Processing -

Acoustics

Investigation de Gels d'Agar chargés de Poudre de Marbre par Rhéologie Ultrasonore Multi-Échelle

Dans une problématique de conservation du patrimoine matériel, les restaurateurs ont souvent recours à des fluides ou matériaux complexes multiphasiques pour protéger ou restaurer des fresques, des monuments, des céramiques, des peintures ou des…

Andrés Arciniegas, Stéphane Serfaty, Nicolas Wilkie-Chancellier, Pascal Griesmar

16ème Congrès Français d'Acoustique, CFA2022 -

Engineering Sciences

Improving Sustainable Vegetation Indices Processing on Low-Cost Architectures

The development of embedded systems in sustainable precision agriculture has provided an important benefit in terms of processing time and accuracy of results, which has influenced the revolution in this field of research. This paper presents a…

Amine Saddik, Rachid Latif, Abdelhafid El Ouardi, Mohammed I Alghamdi, Mohamed Elhoseny

Sustainability -

Statistics

One Versus all for deep Neural Network Incertitude (OVNNI) quantification

Deep neural networks (DNNs) are powerful learning models yet their results are not always reliable. This is due to the fact that modern DNNs are usually uncalibrated and we cannot characterize their epistemic uncertainty. In this work, we propose a…

Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

IEEE Access -

Archaeology and Prehistory

Comparative study on quantitative carbon content mapping in archaeological ferrous metals with laserinduced plasma spectroscopy (LIBS) and nuclear reaction analysis (NRA) for 3D representation by LIBS

The carbon content distribution of ferrous archaeological artefacts in a quantitative way allows us to understand the nature of the materials. Our previous works have ever proved that the use of laser-induced breakdown spectroscopy (LIBS) could be…

Xueshi Bai, Thomas Calligaro, Laurent Pichon, Brice Moignard, Quentin Lemasson, Manon Gosselin, Sarah Richiero, Philippe Dillmann, Florian Téreygeol, Jessica Auber--Le Saux, Nicolas Wilkie-Chancellier, Vincent Detalle

Spectrochimica Acta Part B: Atomic Spectroscopy -