Développement d’un indice de potentiel pour une localisation optimale des centres d’appels dans un contexte canadien

L’industrie des centres d’appels est en pleine mutation et, depuis les dernières années, ceux-ci se sont multipliés au Canada, tout comme dans le reste du monde. Alors qu’ils sont souvent vus comme des emplois routiniers et précaires, les emplois de centres d’appels sont, dans certains cas, devenus des emplois qualifiés. Ainsi, pour optimiser l’établissement d’un […]

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Detection of corroded tringles in Michelin tires

The research project entails finding a method to detect corroded steel wires used in the manufacturing of tires at Michelin in Bridgewater. This would be achieved using methods that are proven safe for humans and the environment. Also, the detection equipment will be integrated in the existing Michelin facilities in Bridgwater, NS, Canada.

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Detecting Credit Transaction Fraudulent Behavior Using Recurrent Neural Networks

Fraudulent activities are hard to detect, but they cost financial institutions millions of dollars in monetary losses and legal costs every year. Millions of dollars are being lost in credit transactions as criminals are finding new, more sophisticated ways to conduct financial crime. This research project examines novel ways of detecting fraudulent behavior using powerful […]

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Improving Operational Resource Efficiencies through the Application of Model-Based Reinforcement Learning (MBRL)

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]

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Pricing and Resource Allocation in Edge Computing

The emerging edge computing (EC) paradigm promises to deliver superior user experience and enable a wide range of Internet of Things (IoT) applications by bringing storage and computing facilities closer to the end users. Virtualization technologies such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV) will allow sellers and buyers to access the open […]

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Off-Policy Reinforcement Learning (RL) for a Production Robotics Application

Kindred offers eCommerce retailers a solution to assist with rapid order fulfilment from their distribution centres. The solution (SORT) is a combination of a so-called put-wall and a humanoid robot. The robot picks up items from orders, scans them, and puts each item in a cubby of the put-wall according to the scan code. The […]

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Clinical Implementation of Contralateral Inhibition OAE Testing

The proposed research project seeks to develop protocols that will enable one to measure the functionality of the auditory brainstem in a way that is clinically viable and time efficient. This project aims to minimize the time necessary to conduct an inclusive otoacoustic emissions (OAE) test using contralateral acoustic stimulation. By setting threshold signal to […]

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Analyse de liens au sein du Mouvement Desjardins

Ce projet vise à utiliser des techniques d’analyse de réseaux afin d’extraire de l’information utile pour le mouvement des caisses populaires Desjardins. Le projet se décompose en trois stages distincts, mais basés sur des concepts similaires. Le premier projet vise à identifier des groupes de membres comportant des affinités, le second consiste à identifier des […]

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Reconnaissance automatique de produits à partir des requis dans les appels d’offres

Ce projet de recherche vise à développer une technologie de pointe qui permettra à une entreprise d’identifier rapidement les appels d’offres les plus intéressants pour elle en fonction des produits et services qu’elle offre. Elle lui permettra également de produire ses soumissions plus rapidement et efficacement. Plus précisément, l’objectif est de développer un logiciel capable […]

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