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Publications

Affichage des publications 231 à 240 sur 4004 au total

Electric power

Topology Optimization of a Complete Reluctance Machine with no Initial Information on its Geometry

This paper addresses the topology optimization of an entire multiphase reluctance machine. Multiple materials are automatically and simultaneously distributed in the rotor and stator to maximize torque, minimizing the designer bias. As an extension…

Théodore Cherrière, S Hlioui, Mohamed Gabsi, Luc Laurent, François Louf, H. Ben Ahmed

ICEM 2024 - 26th International Conference on Electrical Machines -

Materials Science

Impact of Zn addition on structural, morphological, and magnetic properties of thermally annealed Li–Zn nanoferrite

The effect of Zn addition on cationic distribution, structural and magnetic properties of nanocrystalline Li-Zn ferrites are reported. Xray diffraction confirms the formation of spinel nanoferrites with an average grain diameter of 34 -82 nm. The…

S N Kane, R. Verma, C. Parmar, S S Modak, J P Araujo, Frédéric Mazaleyrat, Tetiana Tatarchuk

Molecular Crystals and Liquid Crystals -

Materials Science

Huge laser-induced modulation of the ferromagnetic fraction in the antiferro-ferromagnetic mixed phase of FeRh

Among magnetic materials near equi-atomic FeRh alloys, with their antiferromagnetic (AF) to ferromagnetic (FM) magneto-structural hysteretic transition near room temperature, were studied long ago in bulk form [Kouvel, JAP 1962, Lewis, J. Phys.D…

Catherine Gourdon, Alexis Pecheux, Morgan Almanza, Jon Ander Arregi, Vojtěch Uhlíř, Daniele Fournier, L. Thevenard, Martino Lobue

International Conference on Magnetism (ICM) -

Engineering Sciences

Comparaison de la conduite en deux-roues motorisés thermique et électrique : études qualitatives

Les usagers de deux-roues motorisés sont surreprésentés dans l'accidentalité routière. Suite aux problématiques environnementales, le nombre de véhicules électriques en circulation, y compris les motos électriques (MEs), va augmenter. Les MEs ont…

Clémentine Pignat, Pauline Michel, Abderrahmane Boubezoul, Bruno Larnaudie, Franck Mars, Stéphane Espié

3ème colloque Connaissances scientifiques pour les motocycles (COSMOS 2024) -

Engineering Sciences

Self-Supervised Learning for Real-World Object Detection: a Survey

Self-Supervised Learning (SSL) has emerged as a promising approach in computer vision, enabling networks to learn meaningful representations from large unlabeled datasets. SSL methods fall into two main categories: instance discrimination and Masked…

Alina Ciocarlan, Sidonie Lefebvre, S. Le Hégarat-Mascle, Arnaud Woiselle

Engineering Sciences

Robust infrared small target detection using self-supervised and a contrario paradigms

Detecting small targets in infrared images poses significant challenges in defense applications due to the presence of complex backgrounds and the small size of the targets. Traditional object detection methods often struggle to balance high…

Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre, Arnaud Woiselle