Parking Utilization Assessment Using Deep Learning

Analyzing parking behavior and usage in large open-concept retail centers enables owners and managers to better understand how their parking facility is being used. Most large, open-concept shopping centers are experiencing a parking oversupply problem. Current parking allocation is inefficient and contributes to urban sprawl, large concrete pads that trap solar heat and a waste […]

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Durham Region District Energy Assessment and Feasibility Study

The objective of this study is to develop a district energy evaluation and plan for the Regional Municipality of Durham. This will be achieved by analyzing and assessing the current energy demand and response at the Region of Durham throughout all sectors, including commercial, institutional, industrial and residential sectors. There are numerous potential district energy […]

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Condemnation to Collaboration: An Examination of Relationships between Canadian Governments and the Cannabis Sector

Rural communities and regions throughout Canada struggle with economic restructuring. Influences of globalization and technological advancement contribute to the continually shifting economic reality confronting rural communities. This research focuses on understanding the economic implications of changes in federal policies related to cannabis legalization to rural regions, specifically the Kootenay Region of British Columbia. Through discussions […]

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Non-Invasive Real-time Glucose-Monitoring Smart Textiles

You may have heard of monitoring heart rate in a smartphone using lasers for measurement. Now think of having the wristband or some other wearable gadget and your health status is monitored in your smartphone or your doctors’ cloud. Glucose is one of these parameters that can be measured by this wearable device but the […]

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Feasibility of the Get A-Head® App for Clinical Psychology Research and Training in Emotion Focused Family Therapy

Due to COVID-19, adoption of and investment in technological solutions for remote mental health services (teletherapy) is rapidly increasing. While the evidence-base for teletherapy for individuals is robust, teletherapy research with families has been limited. Further, uptake of teletherapy by clinical training programs has been slow and knowledge about the feasibility of using these interfaces […]

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Applying real-time virtual reality and artificial intelligence for risk-based safety assessment of autonomous operations in a shared airspace

The objective of the research project that is the subject of this proposal is to simulate autonomous flight for the purpose of risk-based safety assessment using machine learning applications. Simulation methodologies are developed and implemented for the purpose of extracting data from real-time, publicly-accessible sources to create a virtual environment that represents actual airspaces including […]

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Characterizing the Neural Network Method of Solving Differential Equations on Low-Dimensional Parametrized Problems from Biophysics

The neural network method (NNM) is a relatively new way of solving mathematical problems called partial differential equations (PDEs). PDEs are used as mathematical models for a wide range of phenomena in science, engineering, finance, and elsewhere. Recently, the NNM is receiving attention because several studies have shown that it can solve certain PDE problems […]

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Application of Data Analytics in Industrial CFD

Due to the potential for significant cost-savings, many companies are turning their attention to digital simulations which produce an enormous amount of data. For companies to realize the benefits of having access to this data they need tools that allow efficient and accurate extraction of information from the data set. The goal of this project […]

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