5G-enabled Smart Buildings for Energy and Space Management

This project aims to propose a novel fifth generation (5G)-enabled machine learning based edge computing solution for the optimal energy and space management of smart buildings and implement it in hardware to validate its performance. The proposed solution exploits the energy and space management databases, enriched by the emerging advanced sensor technologies and 5G wireless […]

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The role of internationally transferred mitigation outcomes in reducing global carbon emissions: Developing theoretical foundations and overcoming implementation challenges

The Paris Agreement, which was signed in December 2015 and went into effect in November 2016, outlines a framework for a new market mechanism that could incentivize countries to reduce their greenhouse gas (GHG) emissions: internationally transferred mitigation outcomes (ITMOs). ITMOs enable countries to transfer emissions reduction credits between countries to efficiently find those areas […]

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Earth Data Store – A Networked Ecosystem for Earth Observation Data Analytics

The Earth Data Store project provides a cloud-based repository for information about our earth. This encompasses satellite information, environmental models, sensors, and many other types of data that allow users to ask questions of this data to help inform their understanding of the world. The outputs of the project will allow economic development to be […]

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SmartBody, SmartMind: Exploring the effectiveness of an online interoceptive training program on physical and emotional well-being.

SmartBody, SmartMind (SBSM) is a 12-week online intervention combining elements of movement, mindfulness, education, and psychologically-informed coping strategies. SBSM’s philosophy is that there are physical, emotional, and psychological dimensions to all disorders. Accordingly, SBSM offers a variety of therapeutic techniques through a variety of modalities, so that each individual may tailor their own healing. While […]

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Inspiring mass stakeholder groups to self-alter their normative patterns and thrive through self-interest and self-direction

This research project seeks to explore/determine if mass-stakeholder-groups can be purposefully, and directionally, influenced to self-alter their respective normative patterns of behavior, and to then further self-sustain their new normative behaviors through their self-interests and self-direction. In other words, if we increase their awareness of tools and supports available, could we encourage those who are […]

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High-throughput linguistic content comparison and sentiment analysis

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non-Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. Scrawlr […]

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Endoscopic Laser Raman Spectroscopy for Colorectal Cancer Detection in IBD Patients

Inflammatory Bowel disease (IBD) affects over 200,000 Canadians. Individuals with IBD have significantly greater risk of developing colorectal cancer. Unfortunately, the screening for colorectal cancer that is currently provided to the general population is inadequate for this group. White light colonoscopy is currently the gold standard but is challenging, as lesions are sometimes difficult to […]

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AI-powered Wearable Health Patch for Non-Invasive Respiratory Illness and Infection Symptom Detection

XCO is a local company that specializes in wearable devices designed to improve health and human performance. The influenza, COVID-19, and other respiratory illnesses such as chronic obstructive pulmonary disease require a unique need for constant monitoring of patient symptoms temperature while reserving hospital space for critically ill patients. XCO will design and produce a […]

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Developing and validating population models to estimate wildlife densities and inform land-use management in industrializing boreal landscapes

Monitoring of population density is crucial for conserving wildlife species and determining responses to management efforts. However, estimating density is particularly difficult when individuals are not distinguishable from each other. There is pressing need to validate the robustness of recently developed models that estimate density from such ‘unmarked’ populations before widespread application to real-world data, […]

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