Lorsque des prothèses et outils sont développés pour la chirurgie de la colonne vertébrale, leur conception exploite des simulations numériques. Cependant, les simulations de colonne qui sont utilisées ne représentent souvent qu’un individu caucasien de sexe masculin, dans la trentaine, et sans maladie. Ceci ne correspond pas aux patient·es susceptibles de recevoir une chirurgie de […]

The project aims to build a 3D object detection system by using a number of images from multiple cameras. The system will train on instances of objects to detect other instances of the same object. This means that if, for example, we want to detect a sphere, we will make the system learn how a […]

To ensure optimal physical development and competitive performances, specific training parameters such as intensity and volume (i.e., the training load) should be appropriately manipulated during and across training phases. Athletes in biathlon perform large amount of physical training that can lead to excessive fatigue and ultimately hinder physiological adaptations. Monitoring fatigue is therefore paramount to […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Leverage machine learning to develop accurate and sophisticated malicious website detection tools

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

The overall objective of this project is to successfully plan and implement an integration system into our manufacturing facility production lines and our prototype machinery. This integration system will include sensors that capture important process information and provide time-sensitive reminders related to the mixing and production of PLAEX products. To accomplish this overall goal, the […]

This proposal presents research projects to evaluate a new technology, Electrovestibulography (EVestGTM) that holds potential to objectively, quickly and quantitatively measure the severity of concussion, thus aiding in its diagnosis. EVestG signals are recorded painlessly and non-invasively from the external ear in response to a vestibular stimulus; they are the brain signals modulated by the […]

This project builds the mathematical framework for estimating light propagation using neural networks, potentially significantly improving computation time over traditional Finite-Difference Time-Domain numerical methods.

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”