Graduating from the Integrated Periphery: Turkey’s Attempt to Becomea “Core” Automotive Nation and Its Implications for Non-CoreAutomotive-Producing Countries like Canada

The automotive industry contributes significantly to the Canadian economy as well as to the economies of many other countries, providing substantial employment opportunities. In recent decades, the sector has gone through significant restructuring with some countries like Canada unable to prevent declining employment and production figures. The general strategy of policymakers in Canada has been […]

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Automobile Purchasing Behaviorial Data Collection, Management, and Analysis

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]

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Création d’un indice de santé numérique pour les restaurateurs

Le projet a pour but la création d’un indice de la santé numérique des restaurateurs ayant recours au service de UEAT. Grâce aux données que génèrent les systèmes implantés chez les restaurateurs, il est maintenant possible d’obtenir un portrait relativement fiable de la santé numérique d’un client de UEAT. Le filon principal du projet est […]

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Interactive Video Tutoring Module

The online video-based tutoring industry is growing fast but there is a lack of interaction between student and tutor. Some survey studies suggest that interactive video-based tutoring like giving bookmarks, hints, nudges, and quizzes in between video lectures helps the student in improving concentration and learning. We propose an interactive video tutoring module which given […]

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Predicting 30-Day Risk of Hospitalization, Emergency Department Visit and Death Among Albertans Receiving Opioid Prescriptions Using Machine Learning Algorithms: A Prognostic Study

Prescribers rely on guidelines for appropriate use and prescribing of opioids. Currently, there are no risk prediction calculators available to quantify the risk of prescribing an opioid that uses a patient’s history and drug utilization pattern. Machine learning algorithms offer an opportunity to perhaps develop such a risk calculator as a result of the large […]

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AI based acoustic signal processing and analysis and its applications

Artificial intelligence (AI) provides powerful tools to many acoustic related applications. This proposal aims at acoustic signal processing and analysis and its applications using AI technologies. In order for AI to make progress in understanding the acoustic world around us, it needs to be interpreted along with multimodal messages. Three subprojects, i.e., multi-modal acoustic scene […]

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The Future of Ontario’s Manufacturing Workforce: A Roadmap to Assess Needs and Capabilities

The purpose of this research project is to better understand the human resource needs and capabilities of the advanced manufacturing sector in Ontario so as to support industry competitiveness and technological change. This research also contributes to labour market development for Ontario’s workforce through an analysis of training and educational providers and recruitment and retention […]

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UAV-assisted wireless communication system in remote areas

In Canada, less than 30% of the geography is covered by cellular systems. There are lots of human activities in these uncovered remote areas for either gaining nature resources or outdoor experience. In this scenario, the walkie talkie is the only and vital method helping people to build connection between each other, which can ensures […]

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Network security and machine learning development projects – part 2

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

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Attribute-Driven Automatic Generation of Realistic Face Textures

When creating a video game, every digital character must be created by professional artists. Their work is very labor intensive because the number of created characters are in the thousands, each of which has multiple visual components that must be created for each one. “Scanning” real actors to create a digital version of themselves can […]

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