Publications

Vibrations

An improved approach for thick functionally graded beams under bending vibratory analysis

A refined beam theory that takes the thickness stretching into account is presented in this study for the bending vibratory behavior analysis of thick functionally graded (FG) beams. In this theory, the number of unknowns is reduced to four instead…

David Bassir, Nadhir Lebaal, Youssef Boutahar, Mohammad Talha, Lhoucine Boutahar

Jie Yang - 2024

Ocean, Atmosphere

Three-Dimensional Non-Hydrostatic Modeling with LES Leray-α Turbulence Model: Applications to Complex Tidal Environments

Ocean turbulence modeling is still an open problem that is generally approached with the use of different modeling for the horizontal and vertical mixing due to the assumption of different turbulent length scales. In some cases, as Alderney Race,…

Lorena Gil Calò, Anne-Claire Bennis, Martial Boutet, Frédéric Dias

Journal of Coastal Research - 2024

Mathematics

Symbolic Representation for Time Series

Sylvain Combettes, Charles Truong, Laurent Oudre

2024 32nd European Signal Processing Conference (EUSIPCO) - 2024

Mathematics

A Meta-VAE for Multi-component Industrial Systems Generation

Fouad Oubari, Raphael Meunier, Rodrigue Décatoire, Mathilde Mougeot

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium - 2024

Mathematics

Portraying the Need for Temporal Data in Flood Detection Via Sentinel-1

Xavier Bou, Thibaud Ehret, Rafael Grompone von Gioi, Jérémy Anger

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium - 2024

Image Processing

Anomaly Detection for Hotspot Identification in Landsat Images

This paper presents a methodology for hotspot detection in multispectral images, utilizing the Reed-Xiaoli anomaly detection algorithm. By leveraging short-wave infrared data from Landsat, the Reed-Xiaoli algorithm identifies hotspots with…

Antoine Tadros, Charles Hessel, Rafael Grompone von Gioi, Florentin Poucin, Simon Lajouanie, Carlo De Franchis

2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024) - 2024

Mathematics

Using Graph Prior to Learn Network Granger Causality

Lucas Zoroddu, Pierre Humbert, Laurent Oudre

32nd European Signal Processing Conference (EUSIPCO) - 2024

Image Processing

Hotspot Detection in Nighttime Landsat Data

We propose a statistically based method to detect hotspots in nighttime short-wave infrared Landsat data. The method assumes an independent and identical Gaussian distribution on the background data and looks for parts of the images with abnormally…

Charles Hessel, Antoine Tadros, Rafael Grompone von Gioi, Florentin Poucin, Simon Lajouanie, Carlo de Franchis

2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024) - 2024

Neuroscience

Symptomatologie sensitive suspendue révélant une sclérose en plaques : intérêt d’une approche multidisciplinaire

Rémy Chapelle, M.-L. Brechemier, A. Rigal, Damien Ricard, Stéphane Kremer

Pratique Neurologique - FMC - 2024

Machine Learning

Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space

The Gromov-Wasserstein (GW) distance is frequently used in machine learning to compare distributions across distinct metric spaces. Despite its utility, it remains computationally intensive, especially for large-scale problems. Recently, a novel…

Antoine Salmona, Julie Delon, Agnès Desolneux

Transactions on Machine Learning Research Journal - 2024