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Publications

Affichage des publications 311 à 320 sur 4116 au total

Artificial Intelligence

Learning to Generate Training Datasets for Robust Semantic Segmentation

Semantic segmentation techniques have shown significant progress in recent years, but their robustness to real-world perturbations and data samples not seen during training remains a challenge, particularly in safety-critical applications. In this…

Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Andrei Bursuc, Angela Yao, Gianni Franchi

WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision -

Condensed Matter

Mastering disorder in a first-order transition by ion irradiation

The effect of ion bombardment on MnAs single crystalline thin films is studied. The role of elastic collisions between ions and atoms of the material is singled-out as the main process responsible for modifying the properties of the material…

S. Cervera, M. Lobue, E. Fontana, M. Eddrief, V. Etgens, E. Lamour, S. Macé, M. Marangolo, E. Plouet, C. Prigent, S. Steydli, D. Vernhet, Martino Trassinelli

Physical Review Materials -

Optimization and Control

An Adapted Constrained Multi-Objective Bayesian Optimization Under Uncertainties: Application on a Permanent Magnet Assisted Synchronous Reluctance Motor

This paper presents a robust Bayesian design optimization of a permanent magnet-assisted synchronous reluctance machine. This robust optimization takes into account the uncertainties related to the geometrical parameters of the machine as well as…

Adán Reyes-Reyes, André Nasr, Delphine Sinoquet, S Hlioui

ICEM 2024 - 26th International Conference on Electrical Machines -

Optimization and Control

Hybrid Market Design Considering Heterogeneous System Operator Preferences

The increasing number of distributed players on power grids is likely to lead to the emergence of energy communities, exchanging electricity within and between themselves, but also with the main market, resulting in what is called heterogeneous…

Benjamin Cajna, Roman Le Goff Latimier, H Ben Ahmed, Jean‐yves Bourmaud, Gérald Vignal

2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) -

Machine Learning

A Comparative Study of Electric Vehicles Battery State of Charge Estimation Based on Machine Learning and Real Driving Data

Electric vehicles (EVs) are rising in the automotive industry, replacing combustion engines and increasing their global market presence. These vehicles offer zero emissions during operation and more straightforward maintenance. However, for such…

Salma Ariche, Zakaria Boulghasoul, Abdelhafid El Ouardi, Abdelhadi Elbacha, Abdelouahed Tajer, Stéphane Espié

Journal of Low Power Electronics and Applications -

Computer Science

Application of Belief Theories for Railway Track Defect Detection

Faced with increasing traffic, railway infrastructures are encountering growing demands, particularly in high-traffic areas. In this context, rail and sleepers emerge as the components most susceptible to failure. To assist infrastructure managers …

Alain Rivero, Sasa Radosavljevic, Philippe Vanheeghe

International Journal of Automation, Artificial Intelligence and Machine Learning -