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Affichage des publications 41 à 50 sur 3792 au total

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

Electric power

Multi-Agent Contextual Combinatorial Multi-Armed Bandits with Linear Structured Super Arm: application to energy management optimization in Smart Grids

The integration of electric vehicles (EVs) and renewable energy sources (RES) into future electrical grids presents both significant challenges and opportunities for energy management. While RES production is an incentive for increased demand at…

Eloann Le Guern-Dall, Raphaël Féraud, Guy Camilleri, Patrick Maillé, H. Ben Ahmed, Juan J Cuenca, Riadh Zorgati, Fabien Petit, Anne Blavette

PGMO Days -

Engineering Sciences

Transformateurs piézoélectriques en électronique de puissance

Cet article traite de l’utilisation du transformateur piézoélectrique (TP) dans les convertisseurs électroniques de petite puissance, 0,1 à 10 W. Sa topologie monolithique planaire simple - disques ou barreaux - permet la réalisation de…

François Costa, Dejan Vasic

Les Techniques de l'Ingenieur -

Computer Vision and Pattern Recognition

ICPR 2024 Competition on Domain Adaptation and GEneralization for Character Classification (DAGECC)

In this companion paper for the DAGECC (Domain Adaptation and GEneralization for Character Classification) competition organized within the frame of the ICPR 2024 conference, we present the general context of the tasks we proposed to the community,…

Sofia Marino, Jennifer Vandoni, Emanuel Aldea, Ichraq Lemghari, Sylvie Le Hégarat-Mascle, Frédéric Jurie

International Conference on Pattern Recognition 2024 -

Instrumentation and Methods for Astrophysic

RFI-Aware and Low-Cost Maximum Likelihood Imaging for High-Sensitivity Radio Telescopes

This paper addresses the challenge of interference mitigation and reduction of computational cost in the context of radio interferometric imaging. We propose a novel maximumlikelihood-based methodology based on the antenna sub-array switching…

J. Wang, M. Korso, L. Bacharach, Pascal Larzabal

IEEE Signal Processing Letters -

Hardware Architecture

Performance Evaluation of a Visual Defects Detection System for Railways Monitoring

SNCF Réseau introduces a novel multi-modal embedded monitoring system, addressing challenges in railway infrastructure maintenance. The design incorporates visual, inertial, and sound sensors, enhancing adaptability, improving overall detection…

Saša Radosavljevic, Alain Rivero, Sergio Rodríguez Flórez, Abdelhafid Elouardi, Pauline Michel, Belkacem O Bouamama, Philippe Vanheeghe

International Conference on Mobility, Artificial Intelligence and Health (MAIH 2024) -