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Affichage des publications 591 à 600 sur 3804 au total

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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 -

Distributed, Parallel, and Cluster Computing

Influence of Communication Technologies in Smart Grid Power Congestion Management

One of the main target of smart grids consists in deploying efficient demand-side management strategies. Several communication technologies are used to transfer monitoring data and control commands from and to smart meters with different quality of…

Adrien Gougeon, François Lemercier, Anne Blavette, Anne-Cécile Orgerie

GreenCom-2022 - 18th IEEE International Conference on Green Computing and Communications -

Engineering Sciences

Performances of multilayer composite materials for broadband shielding

The paper investigates the shielding effectiveness (SE) of multilayers composite materials over a wide frequency band. First, several nanocomposite materials are characterized, and behavior laws are deduced up to several GHz. Then different…

Paul Clerico, Lionel Pichon, Olivier Dubrunfaut, Xavier Mininger, Chadi Gannouni, Y. Liu, Delong He, Jinbo Bai, Laurent Prevond

2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI) -