Intégration des contraintes légales sur les horaires des chauffeurs de camion dans une solution de planification de la chaine logistique

“Afin d’assurer la sécurité des transports, de nombreuses réglementations existent autour du temps de travail pour les chauffeurs de camion. Elles définissent en particulier des durées maximums de conduite, et des périodes minimums de pause et de repos. Ces réglementations, souvent complexes, varient d’un état et d’un pays à l’autre. Pour que la chaine logistique […]

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A semi-automatic computer aided system for spine diagnosis

This project aims at developing a semi-automatic computerized system for spine diagnosis. It improves the efficiency and the efficacy of the image based spine diagnostic procedure. The development of the system is grounded on the state-of-the-art computer vision algorithm “Optimally Oriented Flux”. Based on this algorithm, I tailor various mathematical formulations to mimic human experts […]

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Modélisation de la mégacaryopoïèse par équations différentielles avec retard dépendant de l’état

Le projet consiste a? de?velopper un mode?le d’e?quations diffe?rentielles pour la production des plaquettes sanguines, et des me?gacaryocytes qui sont les cellules a? partir desquelles sont cre?e?es les plaquettes. Ce processus est controle? par une hormone nomme?e thrombopoie?tine (TPO), dont la pre?sence augmente le nombre de plaquettes : la quantite? de TPO pre?sente de?pendant elle-meme […]

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Mathematical Modeling of Fetal Cardiovascular, Neurovascular, and Metabolic Response to Umbilical Cord Occlusions

Acidification of fetal blood presents one of the greatest risks to the fetus during childbirth. Current monitoring technologies focusing on recording fetal heart rate are poor indicators of fetal stress levels, and provide minimal assistance in clinical decision-making. This is due to a lack of understanding about which features of fetal heart rate best represent […]

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Long term modelling of power prices

Power prices are a significant contributor to the overall risk of almost any large-scale industry. In particular, energy companies such as TransAlta who are active participants in many regional power markets have a strong interest in understanding the long-term risks they are exposed to. This project seeks to develop a model that will help TransAlta […]

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Error-correcting codes for adiabatic quantum computation

There are many difficult problems in diverse areas such as bioinformatics, transportation or finance, which are very hard to solve on a classical computer. A new type of computer was conceived, called a quantum computer, which operates on the laws of quantum physics, as opposed to the laws of classical mechanics. Such a quantum computer […]

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Model selection for advanced statistical analysis of multiparametric MRI

Advanced quantitative multiparametric MRI techniques allow the imaging of tumor heterogeneity that was before only accessible by histology and the mapping of functional features not available to pathologists. This wealth of information is however difficult to interpret, even by experts in the field, because adequate analysis tools are missing. The combination of quantitative multiparametric MRI, […]

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Policy pricing in the Canadian insurance market

Insurance companies seek methods for optimally pricing their policies to their customers. They must offer good value to their prospective policy holders, and yet remain competitive in a challenging market environment. This project will use modern statistical and data analytic techniques to help them achieve this. Based on policy prices and client-specific information, models will […]

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Mathematical modelling and numerical simulation for efficient sprinkler system

InteliRain Inc. has developed an effective sprinkler system producing excellent uniformity water distribution for regular or irregular areas but using 30% less water compared to most existing standard industry system. However, the performance of the InteliRain system deteriorates rapidly when it is tested in an open field with wind effect. In this project, the intern […]

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Extensions and Implementation of Recent Improvements to GLMs

Thorough decision-making requires extensive analysis of current and historical experience. This is done through accurate modeling techniques. In actuarial science and insurance, models are used to evaluate risk and make predictions about future claims using a set of variables also known as predictors. However traditional modeling techniques have shortcomings that can be evaded if we […]

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Effect of Foreign Exchange Rates on the Default Correlation

Default correlation analysis has an important role in asset pricing and credit risk management. Our proposed default model aims to analyze the default correlation for two international companies. In this analysis, we would like to incorporate existing correlation between the stock indices in different countries and study its effect on the default correlation measure. Moreover, […]

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