Line of Business Explainability

Current planning/business analytics platforms automate time-consuming manual budgeting, forecasting, and reporting processes to help business users (e.g., financial officer, human resources, merchandising, marketing, or sales) make business decisions. Moreover, end users often use the interactive “what-if” analyses to understand the data from different perspectives and gain insights. However, the current way of presenting the analysis […]

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Using Phase Field Modelling and Machine Learning to Develop a Microstructure Design Platform for Hydraulic Turbine Steels

Materials fatigue has a detrimental impact upon the lifetime and cost-effectiveness of turbine equipment in Hydro-Québec’s energy production division. Metal fatigue, in turn, is linked to it internal microstructure, that developed in a metal during its fabrication or repair through welding, as is often done to damaged hydroelectric turbine blades that break during operation. The […]

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Same-Day Delivery Strategy into Retail Industry

The research will focus on understanding how same-day delivery courier companies can collaborate with retailers in order to form a mutually beneficial option for the end consumer. It will focus on choosing retailers that can have such service incorporated into their current operations. The challenges, risks, and considerations of the transition will be analyzed to […]

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STING modulation for the treatment of triple negative breast cancer using novel glyco-based delivery systems Part 1: design and synthesis of novel glyco-based delivery systems

Breast cancer affect one out of eight women worldwide. Triple-negative breast cancer is an invasive breast cancer that is estrogen receptor-negative, progesterone receptor-negative, and HER2-negative. Triple-negative breast cancer is a type of breast cancer that is usually more aggressive, harder to treat, and more likely to come back (recur) than cancers that are hormone receptor-positive […]

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Quantum Machine Learning for Doppler Radar Signal Processing in Clutter

Quantum computers are no longer fantasises of distant future. Recent advances in quantum computing hardware as well quantum algorithms offer a wide variety of possibilities to improve existing classical algorithms. Some of the operations involved in the standard classical algorithms might be performed much more efficiently using quantum machines. The current proposal will explore the […]

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Creating a Framework for Social Enterprise as a Bridge to Employment and Self Sufficiency for Kingstonians Living in Social Housing

Youth living in social housing often face a number of challenges to success, including histories of intergenerational poverty, high rates of mental health and substance use issues, limited educational attainment, and weak or absent work histories. Secure employment is one approach to addressing key social determinants of health, including having a secure income, food security, […]

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Jeudredi : un parcours vers la semaine de travail de 4 jours

La firme de jeux vidéo québécoise Eidos souhaite évaluer l’impact de l’implantation de la semaine de quatre jours, du lundi au jeudi, dans son organisation. Cette mesure mise en place à l’automne 2021, implique que la semaine de travail régulière passe de 40 heures à 32 heures par semaine sans que le salaire des employés […]

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Integrating autonomously recorded audio data with traditional field surveys to improve detectability estimates for North American birds

Around the world, birds have been declining at an alarming rate. It is therefore important that conservationists use as many resources as they can when making informed conservation decisions. Autonomous recording units (ARUs) have become an increasingly popular choice for monitoring bird populations, because they can be left in highly remote regions (such as Canada’s […]

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Applications of Tensor Neural Networks to pricing early-exercise options

An early-exercise option is a financial agreement which grants one party the right, but not the obligation, to buy or sell an underlying asset at a pre-agreed price at a series of pre-determined times. The problem of pricing an option is of great practical importance and is typically addressed using computationally expensive numerical simulation methods. […]

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Évaluation d’implantation du mécanisme de traitement indépendant des plaintes de violence en contexte sportif au Québec

Un nombre important de personnes qui pratiquent un sport ont vécu de la violence dans ce contexte. Récemment, des stratégies de prévention et d’intervention ont été mises en place afin de réduire la violence en contexte sportif. Au Québec, le Réseau Loisir et Sport Québec (RLSQ) coordonne un mécanisme indépendant de traitement des plaintes qui […]

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