HIVE Geospatial’s mission is to enrich decision-making and facilitate more inclusive and equitable terrestrial and marine management through our proactive planning and collaboration software platform and services. Additional details are available at hivegeospatial.app. The Mitacs-supported internships will contribute to the continued evolution and improvement of the HIVE Geospatial platform, and allow us to address new […]

Under the European General Data Protection Regulation (GDPR), businesses using customer data to make decisions must provide explanations in human terms on demand to the customer to explain their decision. The rise of natural language generation (NLG) and chain-of-thoughts (CoT) represents an opportunity to combine the power of deep learning, automated decision-making, and explainable AI. […]

Baüne désire concrétiser un premier cellule cyberphysique autonome permettant de proposer pour les soins médicaux à distance. Ce produit est un module connecté de surveillance médicale et se présente comme un espace adaptable grandeur nature avec des panneaux motorisés permettant l‘intégration de multiples capteurs de santé des patients.

Homelessness is a pressing issue. In Canada, more than 235,000 individuals experience homelessness every year and on any given night, between 25,000 and 35,000 people may be affected. The general goal of this project is to develop machine learning (ML)-based tools to help with the process of tackling the issue of chronic homelessness. More specifically, […]

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 […]