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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Using Machine Learning to Predict 30-Day Risk of Hospitalization, Emergency Visit or Death Among Albertans Who Received Opioid Prescriptions

When utilizing and implementing ML for prediction using administrative health data, two key issues are ML algorithm evaluation and generalizability21. Current approaches evaluate model performance by quantifying how closely the prediction made by the model matches known health outcomes. Evaluation metrics include sensitivity, specificity, and positive predictive value, as well as measures such as the […]

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Geothermal Optimization Software – Part 1

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

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Autobot: Data-driven metadata tagging of building automation systems

As Building Automation Systems (BAS) are becoming a standard in commercial buildings, and additional 3rd party applications can help buildings owners gain insights from their BAS, structured metadata management becomes the key to success. However, as converting traditional sensors naming convention to structured tagging systems is an expensive and time-consuming process, this project aims at […]

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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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Solar Simulation for Real-World Conditions and Dye-Sensitized Solar Cells Efficiency Characterization

Currently, the scientific community is aware of the potential of dye sensitized solar cells – they are translucent, conduct 100% renewable energy using the Sun’s energy, and are inexpensive to manufac-ture. They possess the potential to revolutionize Canada’s energy system for the better. This research project will show, using a unique solar simulator, how dye […]

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Standardization and optimization of saliva sample processing for SARS-CoV-2 detection without nucleic acid purification

The SARS-CoV-2 outbreak, which started in Dec. 2019, has so far not been contained due to unpreparedness and unsuccessful development of antiviral drugs against SARS-CoV-2. In response to this pandemic, we propose development of a diagnostic assay based on saliva samples. We will also standardize virus collection procedure and inactivation steps to reduce the turnaround […]

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Computational Fluid Dynamics Optimization of Very High Lift Coe?cient Airfoil

The proposed research project’s objective is to perform analysis on airfoil dimensions and configurations for a crosswind power kite system for wind energy generation. The airfoil will be examined through computational methods to determine how well the airfoil will perform. The airfoil configurations will then be optimized to find better designs for airborne wind energy […]

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Modelling and Assessment of Cloud Based Smart Dual Fuel Switching System (SDFSS) of Residential Hybrid HVAC System for Simultaneous Reduction of Energy Cost and Greenhouse Gas Emission Under Smart Grid

The objective of this research is to develop models to assess potential benefits of cloud-based Smart Dual Fuel Switching System (SDFSS) of the residential hybrid HVAC system of electric air source heat pump (ASHP) and natural gas furnace/boiler (NGFB) for simultaneous reduction of energy cost and greenhouse gas (GHG) emission. It will entail detailed modelling, […]

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