Predicting recovery from concussion during military cadet training using multimodal MRI data and machine learning

In the military, concussions are common and many occur while non-deployed, including during cadet training exercises. For the majority of those with concussions, symptoms resolve on their own but for a “miserable minority” symptoms persist beyond the typical 3-month recovery period, impacting quality of life. Most concussion research produces group level inferences which cannot be […]

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Machine learning towards intelligent steel refining processes

In the steelmaking industry, process control models need to be based on a sound physical understanding of the process but should also account for many uncertainties due to the nature and complexity of the environment in which the process is carried out. As a result, it is crucial to extract useful process control information from […]

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Scalable Secure Authentication in Mesh-enabled Networks for Smart Cities

The proposed solution will address the aforementioned challenges by attempting to provide scalable authentication and encryption mechanisms. A combination of software and hardware based approaches can be used to provide enhanced security to constrained IoT nodes with respect to their timing and power demands. Technologies such as Bluetooth or 802.11ax mesh networking could be critical […]

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Robust WiFi-based Indoor Presence Detection and Localization

In this project, we are interested in device-free methods that passively sense, monitor, and track people’s indoor presence, location, and movement using off-the-shelf Wi-Fi-enabled devices. We use information extracted from the physical layer of wireless links to detect and interpret human presence, location, and physical activities. The current design and implementation of Wi-Fi-based systems exhibit […]

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L’adoption des pratiques de menus durables dans les établissements de santé québécois : une étude de faisabilité

L’alimentation durable peut avoir des répercussions bénéfiques sur l’environnement, la santé, l’économie, et la société. L’introduction de la durabilité dans l’alimentation des individus est un processus long et complexe, et les leaders de changement doivent être en mesure de comprendre les perceptions des gens qui œuvrent dans le domaine de l’offre alimentaire. Le projet compte […]

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Anomaly Detection in transactions volumes

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]

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Childhood Healthy Weights Early Intervention Program

The Early Intervention Program (EIP) is a family-based intervention targeting families of children who are off the healthy weight trajectory. The EIP is a 10-week program offered at community centers across BC where children and their families meet once a week for 90 minutes. Parents will be provided with healthy lifestyle content and will engage […]

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Nutrition and management strategies to improve Canadian pork production

The Canadian swine industry must adapt to current and emerging challenges to remain competitive. In general, the industry is focused on improving efficiencies and reducing costs of production. However, the industry also faces many concerns regarding environmental sustainability and societal acceptance of production that need to be continually addressed. Feed represents approximately 70% of the […]

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Diagnostic, Prognostic and Health Monitoring of Aircraft Flight Control System

The reduction of aircraft life-cycle cost and environmental footprint, increasingly desired by the aerospace industry, requires innovative ideas not only at design level but also at maintenance level. Aircraft manufacturers are looking for highly reliable equipment; however, degradations due to wear and tear and faults/failures are inevitable. Thus, when degradations occur, aircraft owners/operators want to […]

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Analyzing the impact of the Lactobacillus rhamnosus R0011 secretome on intestinal epithelial cell and antigen-presenting cell interactions

Intestinal bacteria are now recognized as important for maintaining our health. Many questions remain about how these probiotic or health-promoting bacteria act to influence health, and how to use them to combat the numerous health problems associated with inflammation. The objectives of this research project are to determine how products made by one of these […]

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Real-time measurement of the thickness swelling of modified fibreboard

Wood composite panels such as particleboard and fiber board swell when they get wet and, as a result, they are only used to make products that are used indoors. However, a new type of (modified) fibreboard has been developed that doesn’t swell when it becomes wet, which opens up the possibility of using fibreboards outdoors […]

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Établir un processus de conception-construction intégrée

Le projet a pour objectif d’établir un processus permettant d’optimiser la planification et la gestion de projet de la conception jusqu’à la construction finale. L’utilisation d’une conception intégrée et d’une maquette numérique 3D (sur ordinateur) vise à augmenter la collaboration entre les intervenants du projet pour permettre de mettre en place ce processus. La maquette […]

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