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Publications

Affichage des publications 181 à 190 sur 3833 au total

Electric power

Stack-level diagnosis of proton exchange membrane fuel cell by the distribution of relaxation times analysis of electrochemical impedance spectroscopy

A comprehensive Distribution of Relaxation Times (DRT) analysis is carried out for a proton exchange membrane fuel cell (PEMFC) in this research, to achieve stack-level fault diagnosis by Electrochemical Impedance Spectroscopy (EIS). The durability…

Yunjin Ao, Zhongliang Li, Salah Laghrouche, Daniel Depernet, Denis Candusso, Kai Zhao

Journal of Power Sources -

Neuroscience

Detection of atypical attentional behaviors in young subjects

Background: Vigilance ability refers to the accuracy and speed with which a person performs a cognitive-motor task, either voluntarily (endogenous mode) or following a warning stimulus (exogenous mode). In the context of a force production task, our…

Wafa Rekik, S. Le Hégarat-Mascle, Souhir Ezzedini, Giovanni de Marco

Journal of Neuroscience Methods -

Mathematics

Generalized performance criteria for identified models

It is shown that some usual criteria evaluating the performances of an identified model with respect to experimental data, like the FIT criterion, can be not well-suited to fast sampled systems. This leads to propose some generalized criteria where…

Bernard Vau, Henri Bourlès

Electronics

State of the art of research towards sustainable power electronics

Sustainability in Power Electronics is a recent research topic. It takes place among current actions to grasp design choices that enables eco-design and circular economy in the domain. This article shows the result and analysis of a literature…

Florentin Salomez, Hugo Helbling, Morgan Almanza, Ulrich Soupremanien, Guillaume Vine, Adrien Voldoire, Bruno Allard, H. Ben Ahmed, Daniel Chatroux, Antoine Cizeron, Mylène Delhommais, Murielle Fayolle-Lecocq, Vincent Grennerat, Pierre-Olivier Jeannin, Lionel Laudebat, Boubakr Rahmani, Paul-Etienne Vidal, Luiz Fernando Lavado Villa, Laurent Dupont, Jean-Christophe Crébier

Sustainability -

Other

Statistical Modeling of soft magnetic composite's permeability

Derivation of the demagnetizing coefficients of non ellipsoidal solids or composite media is one of the most difficult problems in electromagnetism. For a single solid object, exact solutions may be derived for various simple shapes involving quite…

Frédéric Mazaleyrat

Journal of Magnetism and Magnetic Materials -

Artificial Intelligence

Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification

Bayesian Neural Networks (BNNs) have long been considered an ideal, yet unscalable solution for improving the robustness and the predictive uncertainty of deep neural networks. While they could capture more accurately the posterior distribution of…

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

IEEE Transactions on Pattern Analysis and Machine Intelligence -