Journeys through Early Learning and Care

The Mitacs project will build on the findings of a 2019 study and explore the experiences of newcomer families—specifically those in the cultural minority—with children 0-5 years old in community-based early learning and child care (ELCC) in Edmonton. The study will look at the lived experiences of these families as they access and receive ELCC […]

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Sentence Objectivity Analysis in Social Media

As more and more people record their lives and actions in Social Media, it has become an invaluable resource for the study of society’s opinions and sentiment. From individual life events (e.g., someone’s purchase of a digital camera) to collective events of major societal impact (e.g., the onset of the COVID-19 pandemic), social media has […]

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Development of nanostructured biosensors for the detection of metabolites

Cancer poses a large and growing impact on the Canadian population and health care system. Developing technologies for accurate diagnosis of cancer in the early stage will decrease cancer mortality rates. Specific and sensitive detection of cancer biomarkers for point-of-care diagnostics applications has been a challenging goal for a long time in clinical diagnostics for […]

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Development of an automated image registration and depth estimation for fruit detection using deep learning and spectral imaging

There is an increasing demand for food production to meet the ever-growing world population. As such, effective management of farm resources is quite critical for the optimal operation of farm enterprises to meet the demand. This project intends to develop an automated approach to detect and analyze fruits using a camera system. One internship programmer […]

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Energy assessment of AI Shading – A Smart Blind technology

The green building movement within building designs has put a spotlight on the application of green technologies to reduce the energy consumption and overall carbon footprint of residential and commercial buildings. In general, approximately half of a building’s total energy usage goes towards heating, cooling, and lighting requirements [1]. According to a recent report from […]

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Extracting information from Emails

The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not […]

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Understanding the contribution of humalite for soil health and crop production

Humalite is a naturally occurring organic substance containing high concentrations of humic acid. Humic-based substances are well known for improving the physical, chemical, and biological properties of the soil. Therefore, humalite may be a cost-effective and environmentally friendly soil amendment with a wide variety of end uses. Large deposits of humalite were found in Southern […]

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Graph Representation Learning for Drug Discovery

Traditionally, drug discovery is a long and costly process, which consists of many stages and on average takes a total of more than 10 years, because it screens huge amount of drug candidates by conducting chemical and biological experiments which are expensive and time consuming. This project aims to apply graph representation learning technologies to […]

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