Automated Anomaly Detection in Energy Consumption Data using Data Mining and Machine Learning Techniques

The Ontario government recently mandated electric and natural gas utilities provide easy access to energy usage data so consumers can access energy-saving services in a competitive market. However, there has been no analysis of how well utilities have implemented Green Button. More specifically, are regulatory requirements being met, and is data accurate, complete, consistent with […]

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Artificial Intelligence for Sustainable Energy Production in Saskatchewan Province – Phase 1

A multidisciplinary study for the utilization of artificial intelligence for sustainable energy production in Saskatchewan Province is proposed. In this research, the Artificial Intelligence for Energy Team of the University of Regina will use AI technology to various sustainable energy resources, which including to empower the field of nuclear energy by optimizing the reactor design […]

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Étude comparative de la performance des modèles non-gaussien dans l’évaluation des produits dérivés

Le but ce travail est de mettre en place une platforme qui integrerait efficacement plusieurs algorithmes d’evaluation des produits derives sous differents modeles non-gaussiens. Cette platforme cherche a etre une calculatrice des prix des options integrant des modeles de pointe pou servir d’aide a la comparaison empirique des point de depart de l’etude. Cette famille, […]

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Designing New Business Models to Transform Bombardier’s Customer Services & Support Department into a Profit Centre

The main purpose of this cluster proposal is to test the hypothesis of whether the Customer Services & Support Department of Bombardier Commercial Aircraft Division can develop new business models to transform itself into a profit center within the Bombardier’s organization. To carry out this test, a thorough investigation of the after-sale needs, wants and […]

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Caractérisation sous choc de foudre d’une nouvelle méthode de mise à la terre (MALT) basées sur l’utilisation des géopolymères électriquement conducteurs développés à partir de résidus de production de l’aluminium.

Depuis maintenant plus trois (3) ans, un projet a été initié par Rio Tinto et l’UQAC dans le but de réduire les résidus issus de la production de l’aluminium sachant que leur entreposage est de plus en plus problématique. Une des solutions proposées est d’utiliser ces différents résidus pour développer des géopolymères électriquement conducteurs (GEC). […]

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Innovation dans l’entraînement sportif: optimisation de l’interface d’un simulateur de boxe en réalité virtuelle

Ce projet de recherche a pour but d’améliorer un simulateur de boxe en réalité virtuelle afin d’aider les athlètes de boxe canadiens à s’entraîner de manière plus performante tout en réduisant les risques de blessures, telles que les commotions cérébrales. Le stagiaire sera responsable de l’évaluation de l’interface utilisateur du simulateur, en établissant une étude […]

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Lead Scoring in using Artificial Intelligence and Network Ranking Methods

This research project works to improve the industry partner’s customer engagement prediction by using advanced analytics. The project focuses on understanding which contacts are most likely to engage with a customer’s marketing campaign, such as opening emails, clicking links, or making transactions. By analyzing a large amount of data, the research team will develop models […]

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New Analytical Approaches to Social Media Data

In general, market research agencies use surveys and social media analytics as different ways to explain customer behaviour. Vision Critical, a Vancouver software and market research firm, is currently testing how the two can be combined to generate new findings. While the company intends to offer this approach as a service, various important questions to […]

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The Atlantic Canada Retrofit Accelerator

This project aims to develop a systematic approach to deep energy efficiency retrofits for prevalent building archetypes in Atlantic Canada, resulting in a comprehensive roadmap for regional and national deep retrofit acceleration. As part of a larger federally-funded endeavor, it contributes to the establishment of regional hubs, known as “Retrofit Accelerators,” aimed at guiding building […]

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Développement d’un additif inhibiteur de corrosion vert pour un formate de potassium destiné au dégivrage et l’antigivrage des ponts et routes

La recherche envisagée vise à relever le défi critique de combattre la corrosion induite par l’utilisation répandue de sels de déglaçage, tels que le NaCl et le CaCl2, sur les infrastructures routières. Cette problématique majeure entraîne une détérioration accélérée des structures en béton, avec des conséquences coûteuses sur l’entretien et la durabilité des infrastructures. L’objectif […]

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Landmark Segmentation and Image Registration of Abdominal Point-of-Care Ultrasound Images using Deep Learning

According to the Canadian Liver Foundation, non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in Canada, affecting 20% of the Canadian population. Over decades, NAFLD can progress to liver cirrhosis, with deceased liver function and decompensation associated with mortality and requiring consideration of liver transplantation. Thus, early diagnosis is crucial to […]

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Business interns working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

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