Duforest, Julien
Cardiovascular diseases are the leading cause of death globally, represent-ing 31.4% of all deaths in the world in 2022. With more than half of all cardiovascu-lar disease-related deaths happening in settings outside of the hospital, there is a needfor constant at-home monitoring to prevent them. Such long-term monitoring solutionsnecessitate auton...
Cheukam Ngouonou, Jovial
Pour améliorer l’efficacité des méthodes de résolution de nombreux problèmes d’optimisation combinatoires de notre vie quotidienne, nous utilisons la programmation par contraintes pour générer automatiquement des conjectures. Ces conjectures caractérisent des objets combinatoires utilisés pour modéliser ces problèmes d’optimisation. Ce sont notamme...
Bessafa, Hichem
This thesis is dedicated to the development of advanced estimation algorithms specifically designed for autonomous vehicle applications. Initially, we provide a comprehensive overview of various vehicle controllers and advanced driving assistance systems, setting the stage for an in-depth discussion of vehicle dynamics and kinematics models. We the...
Ermolaev, Andrei
This thesis aims to apply machine learning methods specifically tailored to the analysis and interpretation of optical pulses as they propagate in a single pass through an optical fiber, and under a variety of conditions. In particular, we will focus on data-driven model discovery approaches that involve the use of machine learning to analyze physi...
Kanj, Hind
The demand for seamless, high-quality video content delivery with minimal latency is paramount in today's applications such as sports broadcasting, videoconferencing, and remote system control. However, video delivery still faces challenges due to unpredictable nature of communication channels. The variations in channel characteristics can impact t...
Zhang, Jing
L'analyse des caractéristiques esthétiques d'images numériques permettent d'améliorer la qualité esthétique du contenu visuel. En analysant les caractéristiques esthétiques qui influencent la perception visuelle à travers les données de l'image, les ordinateurs peuvent effectuer des tâches telles que l'édition assistée d'image, l'amélioration de la...
Cubaud, Martin Jolivet, Laurence Le Bris, Arnaud Olteanu-Raimond, Ana-Maria
Mapping Land Use (LU) is crucial for monitoring and managing the dynamic evolution of the human activities of a given area and their consequential environmental impacts. In this study, a multimodal machine learning framework, using the XGBoost classifier applied to attributes constructed from heterogeneous spatial data sources, is defined and used ...
Helwe, Chadi
This thesis focuses on evaluating and improving the reasoning abilities of Smaller Language Models (SLMs) and Large Language Models (LLMs). It explores SLMs’ performance on complex tasks and their limitations with simpler ones. This thesis introduces LogiTorch, a Python library that facilitates the training of models on various reasoning tasks with...
Giauque, Alexis
Chapter 3 : Combustion noise modeling: This chapter describes in more details my contributions regarding combustion noise. The question of the modeling of the Flame Transfer Functions (FTF) for the analysis of thermoacoustic stability maps is first adressed. Results concerning the analytical modeling of indirect combustion noise as well as the opti...
Martinel, Anthonin Benzinou, Abdesslam Nasreddine, Kamal Foulon, Valentin Borremans, Catherine Zeppilli, Daniella
International audience