Pour résoudre une problématique liée à l’analyse d’images en temps réel, Lapalme Gestion Conception Mécanique recherche un algorithme d’intelligence artificielle qui soit performant dans un contexte de tâches agricoles. Lors d’un précédent projet, nous avons identifié plusieurs modèles prometteurs. Nous visons maintenant à pousser les performances des modèles tout en limitant l’effort d’annotation de nouvelles […]

This project investigates the cost effectiveness of applying product line techniques to the development of the common elements of certain types of video games. Approximately ten games will be analyzed to identify those parts that are used by most of the games. Those commonly used parts will then be re-engineered to make them more generic […]

My project’s goal is to create an efficient application that would demonstrate the prediction of the survival and mortality risks of a certain patient generated by a deep learning algorithm, and provide doctors with all the relevant data surrounding this prediction. I am going to work on the ways to implement this application into doctors’ […]

Pedicle screws are used often in a spinal fusion to add support and strength to the fusion while it heals. Traditionally, a large incision is made to implant screws and rods that stabilize the spine. In contrast, percutaneous pedicle fixation is a minimally invasive spine surgery technique, performed through the skin without a traditional large […]

La planification de rdv à domicile (infirmières ou pour rdv de techniciens) est complexe. Elle nécessite des compétences géographiques et une connaissance métier de répartiteur. Ce processus prend énormément de ressources. Ce projet vise donc projet à concevoir une méthode de suggestion d’horaire de rendez-vous sans avoir à réoptimiser de lourds emplois du temps.

This project will investigate how software developers work with structured information. It will use information about that interaction to improve tools needed by developers. It will assess whether those tools improve the productivity of software developers. The project will also compare the access patterns of users of business intelligence applications to those of developers to […]

Practicare aims to leverage technology to improve community care outcomes through a holistic lens of worker and organizational excellence. The company plans to directly tackle the #1 problem articulated by both care organizations and the clients that they support: the availability, skill, and turnover of care workers; and the direct impact this has on community […]

The project contributes to the statistical, machine learning and deep learning fields from different aspects. First, we implement, document, and compare statistical, machine learning and deep learning solution for maritime market forecasting. This is the first attempt to utilize machine learning for this purpose. Moreover, we will present an enhanced explainable method that describes the […]

Achievement of competence in medical interventions requires practice, and early stages of practice are best done in simulation, typically using some combination of digital (computer generated) and physical (mannequin) models. The overall objective of the pro;osed MITACS Globalink project is to design, implement and evaluate a practical embodiment of the novel low-cost ultrasound-guided kidney intervention […]

Lung ultrasound is an efficient and widespread method used in bedside diagnostic examinations. The interpretation of ultrasound in emergency care is an extremely difficult task, especially for less experienced physicians. The objective of the project is to implement and validate comprehensive AI-based approach using deep learning to assist in identifying diagnostically relevant imaging features and […]

Un ordonnancement est défini par le planning d’exécution des tâches et d’allocation des ressources, et vise généralement à satisfaire un ou plusieurs objectifs. La fonction objectif la mieux traitée est la minimisation du délai total, i.e. la date de fin de l’ordonnancement. Une part conséquente et structurée de la littérature y est consacrée que ce […]

With this project, we aim to increase our knowledge and experience in recommender systems. We are specifically interested in testing various data structures and algorithms that will allow us to provide recommendations to our users based on their interest (user-user), as well as the intrinsic similarities between different elements of our database (item-item). Based on […]