Low data drug modeling

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

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Super resolution for MRI scans

Brain MRI scans are a critical component in the diagnosis of neurodegenerative disorders. However, there is a wide diversity in terms of the image quality and resolution obtained from different MRI scanner. In particular, it is common to find coarse resolution MRI scans (e.g. every axial slice is 3-5 mm thick), which limit the type […]

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Speaker Diarization

Machine-transcription of speech into text is very helpful in many scenarios. Consider the case of machine-transcription of conversation between a Doctor and a patient. If we are able partition and identify the segments of patient’s speech from those of doctor’s, then the transcribed text is more structured and can be more helpful for further use. […]

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Time-series forecasting

The Internet of things is a global infrastructure that enables advanced services by interconnecting physical and virtual things like smartphones, sensors, computers, machines or buildings. These devices typically create enormous amounts of data that can be used to create business value. Mnubo offers a software dubbed Smart Objects that is a comprehensive, full stack IoT […]

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Readmission AI: a predictive tool to assess patient risk of hospital readmission

Logibec Readmission AI is a predictive intelligence tool that accurately identifies the patient’s likelihood of being readmitted within 45 days of discharge. Rigorously and ethically developed with machine learning techniques in partnership with three large healthcare organizations in Québec, the predictive model uses reliable, accessible and timely clinical-administrative and sociodemographic data to provide clinically relevant […]

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VR-based testing station for impairment screening

In this project, a VR-based testing station for impairment screening will be implemented. The station includes a Virtual Reality (VR) goggle (to be updated to Augmented Reality, AR, later), biophysiological measurement sensors, and an integration algorithm to integrate the result of measurement with scene construction of the VR system to implement dynamic scene rendering. The […]

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Flow Weaver Virtual Reality Research Project

This project is intended to further the videogame industry’s understanding of user presence and immersive game design, where the player feels that they exist in a virtual space and can control a virtual environment with their physical body. Rather than trying to achieve immersion in a virtual world by escaping from the body, this project […]

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Requirements for emulating inertia with voltage-source converters

The research in this proposal examines the growing concern of frequency swings in modern power systems. With the increasing penetration of generation from renewable resources, the share of conventional modes of generation will be diluted and as a result the system’s natural ability to maintain its frequency is diminished. Advanced converter systems may be able […]

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An investigation into the motivations of individuals who volunteer and work at charitable and not-for-profit organizations

The goals of this research proposal, therefore, are to: 1) conduct a publishable review of the psychological literature to further understand the motivations of the unique group of individuals who choose to volunteer or work with charitable or not-for-profit organizations; and 2) develop an employee survey that will provide further insight into the motivations of […]

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Pan-Canadian Survey of Education Funding Structures and Processes

Across Canadian provinces, there is little standardization or coordination in terms of public education financing. As such, there is no coordination or standardization in public education across Canada. The IPE/BC is interested in producing a report that outlines the diverse funding models used across Canadian provinces and territories. The aim of this project is to […]

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Fostering Learning and Professional Development for Users of Feature-Rich Design Software

Feature-rich design software is of critical importance to many industries, including manufacturing, architecture, and construction. A common feature of this software is that, to be used effectively, the user must possess technical competency and an understanding of the specific workflows and practices for using the software within their organizations. In the past, users could get […]

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CO2-EOR in Devonian Reefs of Alberta: Reservoir Characterization and Screening

Devonian reservoirs have contributed significantly to the development of the petroleum industry in Alberta. This is mainly due to their favourable characteristics of high permeability enhanced by dolomitization in these often reefal structures. Although many have had good recoveries, much oil remains to be recovered. Many of the same characteristics that led to good production […]

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