Growing the Impact Field in Canada with Independent Media

My research seeks to explore the growing field of Impact Producing in Canada. Impact Producing is defined as the labor of maximizing a documentary film’s potential for social change. This field often involves creating partnerships between documentary films and existing social movements and the nonprofit sector. My research will explore the methodologies and development of […]

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Détection et évitement d’obstacles pour un drone nautique autonome avec utilisation d’un échosondeur multifaisceaux

Un embarcation nautique autonome doit pouvoir naviguer en utilisant les données qui lui sont disponibles. Dans la plupart des cas, une telle embarcation utilise seulement un GPS pour connaitre sa position. Toutefois, ceci ne lui permet pas d’éviter les obstacles flottants, et encore moins les obstacles sous l’eau comme les hauts-fonds. Un système de navigation […]

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Health in HIPPY Homes: Exploring the pathways and barriers to wellbeing of refugee mothers during resettlement and the COVID-19 pandemic, and the role of HIPPY in fostering household health and resilience.

The Health in HIPPY Homes project seeks to explore refugee mothers’ and families’ health during resettlement in Calgary, Alberta, Canada, and the various factors that affect their wellbeing during this period. Additionally, we are interested in better understanding the potential impacts that participating in the Home Instruction for Parents of Preschool Youngsters (HIPPY) program has […]

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Predicting Treatment Response to 1st-Line Pembrolizumab in Highly Expressing PDL1 Advanced NSCLC Patients using Artificial Intelligence Models

Late-stage lung cancer patients with non-small cell lung cancers who demonstrate high levels of PDL1 expression have better outcomes when placed on a combined treatment program of both immunotherapy and chemotherapy. There is a subset of patients that respond well to pembrolizumab, an immunotherapy drug, alone as an initial treatment path, but there are no […]

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Development of visual perception systems for autonomous trains using deep convolutional neural networks

This project aims to develop a deep learning-based computer vision system of a high-performance visual perception system to support the Autonomous Rail. The developed visual perception system enables extracting rail tracks and objects in typical rail scenes using consumer grade camera and lidar sensors mounted on a moving rail. This visual perception capacity is fundamental […]

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Former en éducation à la foi des adultes : formateurs et formés inscrits dans le « lifewide learning »

Depuis les années 1980, on constate que la littérature traitant de l’andragogie religieuse a jeté un nouveau regard sur l’environnement formatif aux adultes, recadrant la posture et le positionnement de la personne andragogue. De plus, cette période marque l’essor des fondements pédagogiques et des techniques d’intervention tous héritiers du courant socioconstructiviste. Une quarantaine d’années après […]

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Surface engineered Iron oxide nanoparticles for biomedical applications

The proposed research aims to develop nanotechnology based on low-cost iron oxide for easy detection, targeting and separation of biomacromolecules from mixtures of proteins and nucleic acids. Iron oxide nanoparticles will be coated with polymers on the surface. The surface exposed chemical groups will be tuned through synthetic articulation of the polymers. The iron oxide […]

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Innovation to Commercialization Optimization Research Project: What knowledge based tools can help WADE Canada accelerate the suitable deployment of DE technologies?

This research project will address the following question: What knowledge-based tools can help WADE Canada accelerate the suitable deployment of decentralized energy (DE) technologies? The proposed research will contribute to WADE Canada’s mission by: • Assessing the performance capabilities of DE technology providers, • Developing a tool to assess the needs of end users (those […]

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Design and Development of Collaborative Robots for Greenhouse Harvesting

Collaborative robots, also known as Cobots, are devices that will help farmers in their farming duties to have better control over their crops, increase harvesting efficiency, and solve labor shortage issues in rural areas. These robots can operate near humans and complete a wide variety of tasks including harvesting crops, precise pesticide spraying and crop […]

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Blockchain Financial and Risk Modeling with Tensor Decompositions and Deep Learning for Institutional Investors

Cryptocurrencies are a new asset class that are emerging in importance and adoption in global markets. Public blockchains such as Bitcoin and Ethereum offer access to an unprecedented amount of financial and technical data. With the increasing amount of blockchain data, it is important that investors and policy makers can access standardized methods of financial […]

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Machine learning approach to monitoring and decarbonizing mineral processes

In Canada’s 2030 Agenda for Sustainable Development, one of the goals is to take urgent action to combat climate change and its impacts. According to this agenda, the target is to reduce Canada’s total greenhouse gas (GHG) emissions by 30%. In order to transition to renewable energy, solar and wind power in combination with energy […]

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Revealing Trends in Quantum Technology with Natural Language Processing and Deep Learning Techniques

Recent years have witnessed a surge of interests in exploring emerging research directions of quantum technology, including quantum computing, quantum sensors, quantum cryptography, etc., and the number of scientific publications in the literature in this field has been growing steadily. However, due to the large volume of unstructured text data and the lack of automatic […]

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