Developing Crop Consulting App

This project is to build a mobile application that will allow partner’s clients to use it on their mobile device to access their farm data and receive ongoing recommendations from consultants. The project will benefit the partner organization by improving the communication between consultants and their client farmers. Currently, consultants print out their recommendations for […]

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Verified AI-driven stakeholder engagement: Researching and developing a sentiment analysis and data visualization platform

Many companies and organisations are required to engage in community engagement to gather stakeholder feedback. Yet, to date, there are key issues with current stakeholder engagement systems as they are inefficient, manual, and prone to error. The aim of this study is to investigate the current state of artificial intelligence and data visualization techniques with […]

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Patient decision aid for musculoskeletal injuries in Mild Hemophilia

Hemophilia is a genetic bleeding disorder in which the blood flow is impaired from clotting. If you have hemophilia, you may bleed for a longer time than others after an injury. The primary goal of our work is to enable patients with the condition to make effective decisions when injuries occur. For instance, our proposed […]

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Revealing the hidden intracluster medium in a distant protocluster of galaxies

Recent telescope observations have discovered clusters of galaxies when the universe was only 10% of its current age. They formed stars vigorously at rates of up to 10,000 solar masses per year, quite the opposite of nearby galaxy clusters that are predominantly quiescent. The cause for their extreme starburst nature of the most distant protoclusters […]

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Modèles d’apprentissage profond pour l’auto-correction des prévisions météorologiques : application à la prévision de la demande sur le réseau électrique québécois et analyse de l’impact des tendances climatiques

A Hydro-Quebec TransEnergie (HQTE), la prevision de la charge (ou « prevision du MW») en operationnel repose sur de; model es parametriques constitues defonctions modelisantes non lineaires. Ces model es sont alimentes par des observations et des previsions meteorologiques, ces dernieres pouvant etre auto corrigees selon la ten dance observee dans Jes derniere; heures. S’ils […]

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Le Big Data chez HQE : Identifications des opportunités en intelligence d’affaires, analyse des exigences informationnelles et mise en place de deux prototypes

Les organisations produisent de grande quantité de données, de divers types, différentes sources et à une fréquence très élevée. Le phénomène des données volumineuses (communément appelé Big Data) constitue une mine d’or pour ces organisations car plusieurs données restent souvent encore sous exploitées. Ce projet vise donc à développer certains mécanismes afin d’identifier des opportunités […]

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Multi-view Neural Scene Inpainting

Capturing and manipulating 3D scenes is a topic of great interest with applications in photography, augmented reality, and robotics. Neural Radiance Fields, or NeRFs, is an emerging technology that enables high fidelity scene modeling and manipulation. This is of great interest to Samsung, as it can help create new photographic experiences for users. Our project […]

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Intact : Tarification par apprentissage par renforcement

La tarification en assurance de dommages est une des fonctions fondamentales et elle est traditionnellement entreprise par des actuaires. La tarification demande notamment d’estimer les coûts d’assurance (pertes attendues), les dépenses encourues ainsi que le profit attendu par la compagnie. En plus de ces éléments, la compagnie doit prendre en compte les forces du marché, […]

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Intact : Détection de réclamations perte totale à partir d’images

Intact vise à offrir un service de réclamations accéléré à ses clients. Au moment d’ouvrir une réclamation, Intact demande d’ores et déjà à ses clients de fournir des images du véhicule qui permettent d’identifier préalablement la condition générale du véhicule. Le stagiaire aura ainsi à extraire l’information de manière automatique à partir des images qui […]

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Analysis of the reverse trip directions of overnight workers from smart card data

Many overnight workers rely on public transit for commuting to work at night and from work in the morning. However, it is challenging to understand overnight workers’ travel patterns between origins and destinations due to their reverse travel directions compared to traditional daytime workers. This research proposes a methodology to identify the overnight workers’ travel […]

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