Development of visual perception systems for autonomous trains using deep convolutional neural networks

This project aims to develop a deep learning-based computer vision system of a high-performance visual perception system to support the Autonomous Rail. The developed visual perception system enables extracting rail tracks and objects in typical rail scenes using consumer grade camera and lidar sensors mounted on a moving rail. This visual perception capacity is fundamental […]

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Former en éducation à la foi des adultes : formateurs et formés inscrits dans le « lifewide learning »

Depuis les années 1980, on constate que la littérature traitant de l’andragogie religieuse a jeté un nouveau regard sur l’environnement formatif aux adultes, recadrant la posture et le positionnement de la personne andragogue. De plus, cette période marque l’essor des fondements pédagogiques et des techniques d’intervention tous héritiers du courant socioconstructiviste. Une quarantaine d’années après […]

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Surface engineered Iron oxide nanoparticles for biomedical applications

The proposed research aims to develop nanotechnology based on low-cost iron oxide for easy detection, targeting and separation of biomacromolecules from mixtures of proteins and nucleic acids. Iron oxide nanoparticles will be coated with polymers on the surface. The surface exposed chemical groups will be tuned through synthetic articulation of the polymers. The iron oxide […]

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Innovation to Commercialization Optimization Research Project: What knowledge based tools can help WADE Canada accelerate the suitable deployment of DE technologies?

This research project will address the following question: What knowledge-based tools can help WADE Canada accelerate the suitable deployment of decentralized energy (DE) technologies? The proposed research will contribute to WADE Canada’s mission by: • Assessing the performance capabilities of DE technology providers, • Developing a tool to assess the needs of end users (those […]

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Design and Development of Collaborative Robots for Greenhouse Harvesting

Collaborative robots, also known as Cobots, are devices that will help farmers in their farming duties to have better control over their crops, increase harvesting efficiency, and solve labor shortage issues in rural areas. These robots can operate near humans and complete a wide variety of tasks including harvesting crops, precise pesticide spraying and crop […]

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Blockchain Financial and Risk Modeling with Tensor Decompositions and Deep Learning for Institutional Investors

Cryptocurrencies are a new asset class that are emerging in importance and adoption in global markets. Public blockchains such as Bitcoin and Ethereum offer access to an unprecedented amount of financial and technical data. With the increasing amount of blockchain data, it is important that investors and policy makers can access standardized methods of financial […]

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Machine learning approach to monitoring and decarbonizing mineral processes

In Canada’s 2030 Agenda for Sustainable Development, one of the goals is to take urgent action to combat climate change and its impacts. According to this agenda, the target is to reduce Canada’s total greenhouse gas (GHG) emissions by 30%. In order to transition to renewable energy, solar and wind power in combination with energy […]

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Revealing Trends in Quantum Technology with Natural Language Processing and Deep Learning Techniques

Recent years have witnessed a surge of interests in exploring emerging research directions of quantum technology, including quantum computing, quantum sensors, quantum cryptography, etc., and the number of scientific publications in the literature in this field has been growing steadily. However, due to the large volume of unstructured text data and the lack of automatic […]

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Parcours d’insertion et de réinsertion aux études des jeunes à risque : quelles sources de soutien contribuent à promouvoir la persévérance lors de la transition à l’âge adulte ?

Ce projet cible une population sous-représentée dans les études sur la transition à l’âge adulte, soit les jeunes abandonnant l’école avant la diplomation du secondaire. Il vise à approfondir le portrait de leurs parcours scolaires post-décrochage, auprès d’un échantillon de 545 jeunes provenant de milieux socioéconomiquement désavantagés, interviewés une fois à l’adolescence, puis une seconde […]

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Autonomous Metro Rail Sensor Data Analytics for Anomaly Detection and Correlation Analysis with Environmental Variables

Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation […]

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Incorporation de lignines Organosolv dans la formulation de mousses PU et d’adhésifs pour panneaux de bois agglomérés

L’objectif général de ce projet de recherche est d’évaluer le potentiel des lignines produites par un nouveau procédé Organosolv pour la formulation d’adhésifs PF et pMDI. Des modifications chimiques (phénolation, déméthylation, méthylolation) seront considérées pour optimiser le potentiel des lignines. Les adhésifs seront ensuite testés pour la production in-situ de PFMD à partir de la […]

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Lake Kivu Degasification Reservoir Engineering Study

Lake Kivu is a unique lake with a significant amount of methane and CO2 dissolved in its deep layer. The presence of these greenhouse gases poses a potential danger of massive disaster. The extraction of methane is viewed as a possible and profitable solution as the reduction of methane will enhance the ability of the […]

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