Analytique des données pour la prédiction des heures d’arrivée des navires

Le projet vise à collecter, préparer et traiter les données chez l’entreprise XST pour contribuer à la mise en place d’un système prédictif pour les heures d’arrivée et les vitesses des navires, en valorisant les données collectées au sein de l’entreprise. Il s’agit également d’explorer l’utilisation de méthodes d’analyse de données et d’apprentissage automatique pour […]

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Out-Of-Distribution Weed Detection and generalization

Weeds can negatively impact agricultural fields, which compete with crops for nutrients, water, light, and space. Herbicides are still the most used control method. However, over time, this strategy may negatively impact the environment, and organic farming standards forbid the excessive use of herbicides. For efficiency, drones collect images from fields to automatically sense and […]

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Designing an Augmented Immersive Virtual Reality Driving Simulator for Advanced Alzheimer’s Disease Patients and Investigating its efficacy on institutionalized Alzheimer’s Residents

In this project a driving simulator in virtual reality will be designed and developed, in which a user can drive a virtual vehicle in a country road with incoming cars and traffic lights and possibly some animals crossing the road. The users will learn the path to reach a destination through the trial and then […]

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Community Sustainable Agriculture and Empowered Aging

This project studies a community garden as a Living Lab to support the objectives of “empowered aging.” Empowered aging encompasses the mental, social, physical and spiritual dimensions of well-being so that people can live their best lives possible. This holistic approach to aging is commensurate with sustainability defined as the need to ensure a better […]

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Écrire pour se reconstruire : Étude de la méthodologie de cocréation de la Grande Cueillette des Mots dans le processus de rétablissement psychologique des soldats en transition, des Vétérans de l’Armée et de leurs proches (phase 2)

Le projet de cocréation artistique Monarques, au sein duquel s’insère ce projet de recherche, repose sur le besoin essentiel et urgent d’apporter un soutien aux vétérans, aux proches et aux membres des forces régulières ayant servi dans les forces canadiennes qui ont vécu ou qui vivent avec un état de stress post-traumatique, une blessure de […]

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Assess with the best: New product development and continuous improvement of the SuccessFinder psychometric assessment

Research problem: Ensuring the SuccessFinder psychometric test is updated and has solutions to meet client needs for data-driven HR. In addition, refining the application of personality to person-job fit, team effectiveness and leadership. Significance: closing the research-practice gap, equipping HR with the most relevant people data to weather upcoming disruption and change in the job […]

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Improved Surveillance and Flight Efficiency using Autonomous Soaring

To address the challenge of increasing flight endurance for Unmanned Aerial Vehicles (UAVs), a novel technique involving the exploitation of atmospheric energy, typically by soaring in thermal updrafts, is being developed. The AUTOSOAR algorithm developed in a previous Mitacs project permits the UAV to rely less on its onboard motor to maintain altitude, and reduce […]

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Verrous et leviers d’acceptabilité des projets de rues conviviales en Amérique du Nord

La recherche éclaire trois défis auxquels sont confrontées les municipalités dans les projets d’aménagement de « Rues conviviales » (RC) qu’elles réalisent. Ces projets suscitent parfois des réticences au sein des services municipaux, lors de la conception et la gestion de ces nouveaux espaces. Des oppositions voire des conflits peuvent aussi émerger au sein des […]

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Behavioral Model of Charge-Trap Transistors

Conventional von Neumann architectures rely heavily on communication between memory and compute elements, making them power hungry. In recent years, therefore, neuromorphic computing based on low-power compute-inmemory devices has been gaining interest. One of the essential aspects of such systems is the hardware modeling of synapses that are expected to store weights that represent the […]

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Managing tree models plasticity and mixing GLMs with regression trees for insurance ratemaking

Predicting policyholders’ claims over a year is crucial for a Property-Casualty insurance company. These expenditures, popularly called losses, are incurred by the insurer when reimbursing the policyholders’ claims. The insurance company is required to pay any legitimate claim made by a policyholder, in exchange the latter pays an amount of money, called the premium, to […]

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Artificial Intelligence for Prostate Cancer Detection using Ultrasound

Prostate cancer is the most common cancer in Canadian men, and early and accurate diagnosis is critical for successful treatment. The proposed research aims to develop AI-powered tools to improve the accuracy of prostate cancer detection using ultrasound technology. In collaboration with Exact Imaging, we will develop AI tools that can analyze images from the […]

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