Machine learning assisted quantum chemistry for Orquestra – Year two

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

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Developing Digital Brain Assessment Tools for the Home

Attention problems are common with aging and related disorders (like stroke) and are associated with poor recovery and quality of life. Many clinical tests of attention are not based on neurocognitive concepts and are limited to in person visits. The Dalhousie Computerized Attention Battery (DalCAB) is a theory-based, in-depth measure of attention that can be […]

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Modeling (BIM) et deux autres processus : LeanConstruction et l’ingénierie simultanée dans uneétude de cas (Hydro Québec).

Ce projet de recherche vise principalement l’alignement du processus d’Hydro Québec Équipement aux processus BIM, Lean Construction et l’ingénierie simultanée. Les résultats du projet aideront cette entreprise à atteindre son objectif principal de réduire davantage les coûts à l’aide d’une maîtrise de la 5D (les coûts), une meilleure systématisation du processus de construction en explorant […]

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A Scalable Solution for Sensing and Sorting Orein the Mineral Mining Process

This project intends to research the building of scalable, low-cost and robust alternatives andimprovements to existing systems for mineral sensing and sorting in order to achieve greaterproductivity and efficiency by means of improving speed and accuracy in the process of miningminerals from low grade rocks. The project will combine developments in embedded and streamingsystems, parallel […]

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High Efficiency GaN RF Power Amplifiers for 5G and Beyond Applications

This research project will be a collaborative effort to explore, understand, and capitalize on the growing market shift from Laterally Diffused Metal Oxide Semiconductors (LDMOS) to Gallium Nitride (GaN)-based radio units in the base station market, which is ever-growing with the increased demand for 5G. The intern will be trained on simulation, measurement, design, and […]

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Indicateurs d’accessibilité de la population aux espaces verts – Développement d’un outil misant sur les données ouvertes

Les indicateurs d’accessibilité aux destinations permettent de mesurer la performance conjointe des systèmes de transport et d’aménagement du territoire. Bien que leur apport à une meilleure planification des transports ait été largement démontré, ils sont encore peu utilisés en pratique, étant donné les défis liés à leur opérationnalisation. Le projet proposé vise donc à développer […]

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Developing an IoT Edge Computing gateway System (IoT-ECS) to improve passenger’s journey: an intelligent mobility perspective

This research project is part of a bigger initiative driven by Tangente AI and BusPas that fits into the context of intelligent mobility within “smart cities” and is focuses on improving the urban logistics services for the transport of citizens/passengers. More specifically, by leveraging on the Internet of Things (IoT) technologies and applications, within the […]

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A Usability Study of Teacher Help: Classroom Management

The goal of the proposed research project is to evaluate the usability of a new module for an existing eLearning program for classroom teachers called Teacher Help. The new module is designed to provide training in evidence-based classroom management strategies to decrease disruptive classroom behaviour. Participants will be classroom teachers (n =20) and other stakeholders […]

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Innovating a crop assessment system using a real-time, hardware-based drone image processing system to support on-the-spot decision in agriculture

Agricultural producers are concerned about producing food, increasing productivity, and making sustainability, while drones along with governments, technology leaders, and industry are playing an important role as a part of solution of this [9]. This drone imagery is for farmers so that, they can fly their fields, and not only pinpoint issues such as, irrigation […]

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Association automatique entre symboles et textes dans des documents d’ingénierie

La plupart des documents d’ingénierie comportent des symboles pour caractériser les systèmes qu’ils représentent. Ils comportent également des annotations (identifiants, notes, spécifications) sous forme textuelle pour préciser certaines propriétés importantes ou identifier les composants. Si l’association entre les symboles et les composants est intuitive pour un expert humain, il en va autrement pour un ordinateur. […]

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