Prediction of seasonal epidemics have beenwidely treated in the medical literature, with various methods to forecast the future cases of a given disease, when it’s about infectious diseases: compartmental methods that forecast the number of persons at each state of the epidemic (susceptible, infected, resistant) are used(1), as well as methods base...
Certaines techniques dites d'apprentissage machine (machine learning) sont de plus en plus employées pour concevoir des modèles mathématiques et informatiques à fonction soit de prédiction soit de décision. Dans des contextes de diagnostic médical ou de décision juridique, en particulier, il est demandé que ces modèles - ou bien les algorithmes ass...
Studying physical processes of an upwelling system is essential to understand its present variability and its past and future changes. This thesis presents an interdisciplinary study of the coastal upwelling system from different satellite acquired data, with the main focus placed on the North West African (NWA) upwelling system. This interdiscipli...
Lors du mélange de l'eau douce des rivières avec l'eau salée de la mer, une quantité considérable d'énergie est dissipée. Plusieurs procédés sont actuellement à l'étude pour parvenir à exploiter cette énergie bleue (Blue Energy). Inversement, la désalinisation de l'eau de mer pour la production d'eau potable nécessite de très grandes quantités d'én...
Studying physical processes of an upwelling system is essential to understand its present variability and its past and future changes. This thesis presents an interdisciplinary study of the coastal upwelling system from different satellite acquired data, with the main focus placed on the North West African (NWA) upwelling system. This interdiscipli...
Several City Logistics (CL) initiatives have emerged in the last two decades with the aim to reduce the negative externalities of freight distribution in urban areas. Such initiatives can be public and/or private but need to not break or impeach current operations efficiency so to not hinder their profitability. In order to provide business value t...
The regularisation of nonlinear hyperbolic conservation laws has been a problem of great importance for achieving uniqueness of weak solutions and also for accurate numerical simulations. In a recent work, the first two authors proposed a so-called Hamiltonian regularisation for nonlinear shallow water and isentropic Euler equations. The characteri...
Cette thèse traite de l'utilisation de méthodes de projection pour la simulation de fluides à seuil, incompressibles et à densité variable. Elle se découpe en trois parties. La première partie est consacrée à la présentation du modèle mathématique, à la construction du schéma de semi-discrétisation en temps du modèle, ainsi qu'à l'analyse du schéma...
International audience
Cluster analysis by k-means algorithm by R programming applied for the geological data analysis is the scope of the presented paper. The research object is the Mariana Trench, a hadal trench located in west Pacific Ocean. The study evaluates the similarity of the geological data by the analysis of their attributes. The original observation data set...
