Improving efficiency and safety in aviation industry using big data analytics

In aviation industry a large flow of data including thousands of parameters are registered by FDRs (Flight Data Recorders). The objective of this project is to use this big data to improve the efficiency and safety of flights. The data is collected and segmented from the raw datasets and then proper data cleaning methods are […]

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Understanding the Indigenous School Attendance Gap: Perspectives from an Educational Program Supporting Inuit Youth

In Canada, First Nation, Métis and Inuit (FNMI) students experience higher rates of absenteeism and lower rates of school success compared to non-FNMI students. However, little research has explored this issue from the perspective of FNMI communities. This study aims to conceptualize attendance and absenteeism among a group of urban Inuit students in Ottawa who […]

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Smart railway: automated defect detection and predictive maintenance for resilient railway infrastructure

Railway systems play a vital role in modern society by rapidly and safely transporting cargo, goods and passengers. The project will build an intelligent railway infrastructure monitoring platform, and develop multi-scale railway maintenance algorithms to improve railway network safety and security, and promote a resilient infrastructure from disruptive events and climate changes. By developing technologies […]

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Automating Residential Construction Cost Estimation Using Machine Learning: Enhancing Accuracy, Efficiency, and Decision-Making in the Prefabricated Building Industry

This research project aims to revolutionize construction cost estimation by developing machine learning models for automating residential cost estimation in a prefabricated building company. The project focuses on two goals: creating a revenue forecasting system for business intelligence and automating core processes in the cost estimation department for efficiency and accuracy. The project involves comprehensive […]

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Analyzing the Complex Interplay between Absenteeism Predictors: A Cumulative and Multiple Individual Risk Model

Through a well-established partnership with Ottawa’s Children’s Coordinated Access and Referral to Services in Ottawa, this internship project will examine factors affecting school attendance problems of youth at risk of serious consequences (i.e., unsuccessful educational completion, behavioral problems, and unmet mental health needs, etc.), with the goal of better understanding the complexity of these factors […]

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Equity Audit of Canada’s International Co-Productions over the past 10 years

The objective for this research project is to support the future international success of the Canadian racialized creatives in the screen industry. There is a lack of available research on content production specifically targeting global audiences, and therefore there are significant gaps for development, promotion and distribution of Canadian screen content that could be filled […]

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The Communicative Challenges and Implications of Quantum Computing Renewal

The industry partner1QBit has access to a processor that uses an adiabatic annealing technique to address a special class of optimization problems for initial application in finance. Optimization problems have a long and broad relevance to challenges faced in the financial sector. The prospect of quantum annealing as a way to innovate in solving finance […]

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Machine learning tools for rapid pricing of exotic equity products

Exotic derivatives of various kinds contribute significantly to the risk exposure that must be managed by banks. In order to be competitive, banks need to assess their risk exposure frequently, and make necessary adjustments to their positions. Assessing risk exposure involves computing valuations of all the assets in their investment portfolio, along with their sensitivities. […]

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Advances in Computer Algebra and Analysis

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge those software systems with more and more complex tasks. It is necessary, therefore, that the core engines of CAS to implement stateof- the-art algorithms. This proposal capitalizes on the research conducted by academic […]

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Development of Alternative Tensile Test for Characterization of UHPFRC

In recent years, ultra-high-performance fiber reinforced concrete (UHPFRC) has gained ground in bridge construction and infrastructure. The tensile behaviour of UHPFRC that effectively limits crack propagation and minimizes the width of cracks, resulting in enhancement of the structure’s strength and durability is of utmost interest. However, the fast, easy, and reliable characterization of this property […]

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