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...
The Advanced LIGO/Virgo observation campaigns have revealed the rich and diverse physics of binary neutron star (BNS) and binary black hole mergers. In 2017, the simultaneous discovery of GWs and electromagnetic (EM) counterparts from a BNS merger provided an exceptionally detailed view of this extreme phenomenon, yielding numerous results in both ...
Today, sharing data and digital content is essential across various applications, particularly in health, education, and agriculture. Traditional wired networks and wireless networks are the two main modes of communication, with the latter presenting more challenges due to the absence of a guided physical path. Opportunistic routing emerges as a pr...
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...
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...
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...
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...
Breast cancer is one of the most common cancers worldwide, accounting for 12.5% of new cases each year. In 2022, around 2.3 million women were diagnosed, with over 666,000 deaths. Although electronic health records (EHRs) have revolutionized clinical research by providing valuable data, breast cancer studies rarely exploit free-text medical reports...
Outre les systèmes basés sur la connaissance (ou système expert), les techniques d'acquisition de connaissances, les méthodes de représentation et formalisation des connaissance, l'IA a mis en œuvre plusieurs autres méthodes et techniques comme l’apprentissage automatique (supervisé, semi-supervisé, non supervisé), l’apprentissage profond (ou appre...
De nombreux indicateurs de performance existent en sport et en santé (guérison, réhabilitation, etc.) qui permettent de caractériser différents critères sportifs et thérapeutiques.Ces différents types de performance dépendent généralement de la charge de travail (ou de rééducation) subie par les sportifs ou patients.Ces dernières années, beaucoup d...
