Economic Capital Modeling by Using Copulas

Sun Life Financial is carrying out its ERM and ORSA analysis. The company seeks to develop sophisticated and mathematically sound internal models that would serve as company’s own risk measurement tools for EC evaluations, provide continuing insights into the appropriate risk management routes, as well as be a benchmark against the RC required by the […]

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PaceZero BSI 2024

PaceZero Capital Partners Ltd. (“PaceZero”) is a sustainability-focused private credit firm investing in established growth-stage technology companies that are generating quantifiable positive social and environmental outcomes. The project will consider innovative ways to further incorporate technology into loan origination, due diligence and underwriting processes.

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Living Archives, Histories and Futures of Alternative Book Publishing (part of Archives / Counter-Archives)

PUBLIC was founded in 1988 by Public Access Collective, a Canadian charitable nonprofit organization committed to curating and producing innovative artistic research-creation projects and public interventions. Living Archives, Histories and Futures of Alternative Book Publishing is a research-creation project focused on developing PUBLIC Books and PUBLIC Online, including the further development of a more hybridized […]

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Flocking behavior research

Flocking behavior is the behavior exhibited when a group of birds, called a flock, are foraging or in flight. There are parallels with the shoaling behavior of fish, the swarming behavior of insects, and herd behavior of land animals. What we want to do is to build the mathematics models and use these models to […]

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Ultra-low-power edge-AI circuits and systems for intelligent biomedical sensors

Cardiovascular diseases (CVDs) are the leading cause of death in the world. One person dies in Canada every five minutes from heart conditions, stroke, or vascular cognitive impairment. There have been 2.6 million CVD-related hospitalizations in Canada between 2007 and 2017. CVDs alone cost totaling $21.2 billion a year in direct (medical) and indirect (lost […]

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Renewable Energy Mobility (REM)

The proposed REM project aims at developing and installing a highly iconographic solar charging station that will help inspire and foster the expansion of local infrastructure for electric vehicles at York University. This effort is part of a plan to use this innovative solar charging station to offset the electrical needs of EVs and most […]

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“Improving Flexural Strength Predictions in Composite Materials using Image Processing and Machine Learning”

This project aims to improve the way we assess the strength of short fiber reinforced composites, focusing on sustainability. By exploiting the distinct visibility traits of PEEK and carbon fibers in CT scans, the study will utilize non-destructive testing and computer algorithms to analyze and measure factors critical to the material’s strength directly from scan […]

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Past and current Bitcoin adopters in Canada

The popularity of cryptocurrencies has continued to increase over the past years, raising serious policy concerns among Central Banks. Given the Bank of Canada’s role in maintaining financial stability, its 2019 Financial System Review identified the evolution of the cryptoasset market as one of six financial vulnerabilities that need to be monitored closely. Currently, in […]

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Business strategy – Europassport

EuroPassport aims to strategically position itself in the market with the introduction of a new SaaS platform to disrupt the legal immigration industry. This project focuses on comprehensive research and analysis to understand market dynamics, customer needs, and competitive landscapes.

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Self-supervised learning for animation

In response to the dynamic challenges inherent in the gaming industry’s character animation pipelines, characterized by the labor-intensive and error-prone nature of manually labeling frame-by-frame data, this project endeavors to integrate Self-Supervised Learning (SSL) techniques into the animation workflow. SSL offers a compelling solution by enabling the acquisition of efficient and generalizable representations from large […]

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Study Cluster melting by enhancing Parallel Tempering Monte Carlo Simulation with Gaussian Software Interface through GPU Acceleration for Efficient Energy Calculation

This project aims to simulate the melting of clusters that are important in the field of nanotechnology and catalysis. We will improve the computational efficiency of Parallel Tempering Monte Carlo (PTMC) simulations by integrating GPU capabilities and interfacing with Gaussian software for energy calculations. The project is an essential part of a Ph.D. thesis that […]

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