Internet-based mental state monitoring using patient’s textual data – Year two

Among all chronic diseases, mental health issues have the highest burden on health care systems. However, unlike other chronic diseases, like Diabetes or hypertension, no monitoring procedures exist to monitor patients’ mental health status to prevent relapse and crisis situations. It is therefore necessary to develop cheap, convenient and accessible monitoring systems that could be […]

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Program evaluation for JUMP Math: An empirical assessment of a resource for math education – Year two

Canadian math scores are in decline. Numerous studies have demonstrated the importance of numerical proficiency for outcomes such as health, employability and financial stability. Therefore, the effectiveness of a child’s math education is key to future success. It is of utmost importance, then, to identify effective math education programs. The proposed project will evaluate JUMP […]

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Further improvements of image analysis for multiplexed microarrays – Part 3

Microarray testing allows high-volume analysis. This work will develop tools for accelerated analysis and modifications to surfaces used within the partner facilities. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support the partner’s technology leadership position. […]

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Predictive Models for Customers’ Engagement in a Small and Medium-Sized Enterprise’s Business Ecosystem Network

In the era of digitization, the success of an SME significantly depends on the active engagement with other actors (e.g., brand consumers, suppliers, influencers) in their business ecosystem. In this research project, we propose to develop an engagement model based on the business ecosystem network. These models will predict the customer engagement community association and […]

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Schedulability Analysis of Real-Time Systems Using Metaheuristic Search and Machine Learning

Schedulability analysis aims at determining whether task executions complete before their specified deadlines. It is an important activity in developing real-time systems. However, in practice, engineers have had difficulties applying existing techniques mainly because the working assumptions of existing methods are often not valid in their systems. Specifically, uncertainties in real-time systems and hybrid scheduling […]

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Novel Corrective and Training Procedures for Neural Network Compliance

In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at obtaining model compliance in two ways: (i) applying corrective measures to a non-compliant Machine Learning (ML) model and (ii) ensuring compliance throughout the model’s training process. We aim to […]

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Developing a watershed approach to manage anthropogenic and environmental stressors in an eastern Lake Ontario watershed

Water quality in the watersheds of the Great Lakes are under ever-increasing pressures from population growth, urban expansion, economic development, nutrient enrichment, and climate change. We aim to develop a statistical model to understand the relative influence of anthropogenic stressors on water quality for the central Lake Ontario watershed surrounding the cities of Oshawa, Whitby, […]

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“Healthy Bodies, Healthy Minds”- Gender Transformative Menstrual Hygiene Management (MHM) Program Implementation in Low and Middle-Income Countries (LMICs)

The Canadian Red Cross (CRC) has historically been at the forefront supporting local level programming in international humanitarian contexts. The GHU provides both technical and operational support to CRC field experts who are responsible for on-the-ground programming, and advocacy on behalf of local communities, bringing their voices to the CRC when setting its global health […]

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