Le projet de recherche vise le développement d’une nouvelle technologie permettant de sensibiliser les équipes de sport amateur aux commotions cérébrales et de fournir des outils d’information et d’accompagnement à l’entourage des joueurs (parents, enseignants, entraîneurs). Ces outils permettront ainsi à différents acteurs de jouer un rôle actif dans la reconnaissance et le suivi de […]

The goal of this study is to identify mechanisms of microbial decomposition activity over the restoration periods of peatlands, which play an important role in carbon storage, thereby contributing to improvement of development of ‘carbon neutral technologies’ and incomplete ‘global carbon budget’. Real-time qPCR will be used to quantify the abundance of 16S rRNA (Bacteria), […]

In the last few years, a high increase in the interest of traders and investors towards financial instruments directly led to an important augmentation of the information received daily by exchanges. Exchange regulators, who constantly monitor markets to unveil potential infractions, traditionally perform their investigation manually and the notable growth in market activity represents an […]

La compétition entre les arbres pour les ressources du milieu s’intensifie à mesure que la forêt se développe. Le traitement sylvicole alors utilisé afin de réduire la compétition est l’éclaircie précommerciale (EPC), qui vise la libération et la redirection des ressources vers les essences d’arbre désirées. Dans la forêt boréale, le couvert végétal au sol […]

The research project is focused on the study of TERRA (Telomeric Repeat containing RNA) dynamics in cancer cells to understand the relationship between cancer and telomere. TERRA long noncoding RNAs have been proposed to play important roles in telomere biology. However, the dynamics of TERRA molecules are yet to be elucidated. Indeed, in human cells, […]

Development of an Avionics system test methodology, based on the Test and Test Control Notation (TTCN-3). This will include (1) a gap analysis between TTCN-3 and current avionics test languages and environments and (2) a large scale case study. Of particular interest, will be the ability to model and verify both continuous control and discrete […]

The main goal of this project is to develop an artificial intelligence based approach for recommendation to improve Videotron marketing solutions. We aim to focus on improving Vidéotron return on investment (ROI), engaging more users and retaining subscribers using advanced artificial intelligence techniques. The proposed system will be based on a collaborative filtering technique that […]

High-level control strategies, commonly referred to as Motion Cueing Algorithms (MCA), are used to create realistic perception of unrestricted 6 degrees-of-freedom (DoF) motion with a motion platform that has fewer DoF and a limited workspace. For instance, such an algorithm would tilt the platform towards back to emulate forward acceleration on a platform that does […]

The proposed project complements the current work of the partner organization with polymeric materials. The evaluation of ultrashort laser interaction with solid matter of surface textured metal-like materials would help the partner organization obtain detailed process knowledge; a distinct advantage for broadening its service offering to address a different market segment.

Cable systems play an important role in many large scale simulation applications. Examples include marine systems, mining machinery, and cranes. The high fidelity and efficient modelling and simulation of these systems can enhance the applications and usability dynamic modelling environments. In this project we particularly target to develop models and efficient algorithms based on nonlinear […]

Recent years have seen a wealth of clinical evidence accumulate in favor of the radiomics hypothesis, wherein standard-issue oncological medical images, such as CTs, PET-CTs and MRIs, exhibit reliable fingerprints of cancer tumor genetic makeup, enabling predictions of patient prognosis, treatment resistance and side effects to be made directly from an analysis of imaging data. […]

This project will improve the learning capacities to recognize confidential information in documents of various formats. Thus, our project has to set up a technology (natural language process NLP and others) that emulates the way in which humans read a document and to process this information using inference rules and a master data.