Development and application of non-metallic component strategies

Non-metallic technologies, including composite materials, have the potential to improve aircraft engines performances and fuel efficiency, and therefore gained a lot of popularity in the aerospace sector in the past decades. Therefore, the overall objective of this research project is to develop an understanding of all available non-metallic technologies, their maturity and value proposition when […]

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Biomechanical and metabolic analysis of world-class short-trackspeed skaters

Short-track speed-skating has been one of the most important medal-provider sport for Canada at Olympic Games for many years. However, research on performance determinants is very scarce, and Canada is progressively loosing ground compared to new countries interested in the medal potential of this sport. There is an urgent need to better understand the biomechanical […]

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Multiple shock dependencies with applications to insurance risks

Traditional insurance models build on the assumption of independence of risks. One of the main causes of the recent financial crisis, this assumption has facilitated the quantification of risks for decades, but it has often lead to risks’ under-estimation and as a result under-pricing. Importantly, one of the prime pillars of the novel concept of […]

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Development of a precise and robust INS/GPS navigation system using low cost MEMS sensors dedicated to autonomous multirotor applications

ARA Robotique is a company specialized in the development of a state-of-art flight controller for light multirotor UAV. One of the critical subsystems of a flight controller is its navigation system which measures the position and the orientation of the vehicle which is then used to ensure the flight stability and to operate the UAV. […]

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Integration of INTERCONNECT and Cadence with an emphasison co-simulation of CMOS drivers and optical ring modulators

The idea of using light for transferring data has been developed rapidly since 1960s. Today, using light for short-distance communication, as an alternative for copper wires, is rapidly growing mostly because of its broadband communication characteristics. Optical communication systems consist of both electronic and photonic components. Designing such systems will benefit from an Integrated Development […]

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Analyse de données massives provenant de médias sociaux

Ce projet de recherche vise à développer de nouvelles approches pour l’exploration et l’investigation de données massives provenant de médias sociaux tels que Twitter, des blogues et des sites de nouvelles. Les outils développés devraient permettre de répondre à des questions telles que : qui sont les personnes les plus influentes, initiatrices de tendance; qui […]

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Liver cancer detection using recent advances in deep learning

Approximately half of today’s population will be affected by cancer during its lifetime. Knowing that the earlier cancer is detected, the better the life expectancy, accurate radiological detection can make the difference between life and death. Primary liver tumor, known as hepatocellular carcinoma (HCC), and secondary liver tumor (metastasis) represent, in aggregate, the second most […]

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Investigating QUBO-Compatible Algorithms for Trading and Scheduling Optimization Problems

This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, […]

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Investigating the Implementation of Machine Learning Algorithms on Adiabatic Quantum Solvers

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

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Investigating the Implementation of Machine Learning Algorithms on Adiabatic Quantum Solvers Year Two

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

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Progression du nouveau moteur de positionnement de Delmiabasé sur les intentions de l’usager

L’objectif général de ce projet est le développement d’un nouveau moteur de positionnement de Delmia basé sur les intentions de l’usager. Ce nouveau moteur positionnera le mannequin de Delmia en tenant compte de la l’équilibre postural, de l’effort exercé par les membres supérieurs sur l’environnement ainsi que la probabilité et la répétabilité de la posture […]

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