Energy Audit Reporting Automation with Artificial Intelligence (AI) and Machine Learning (ML)

Currently, energy audits at Dillon Consulting Limited take 2 to 3 days to generate comprehensive reports, consuming significant auditor time due to the manual process. This inefficiency diverts auditors from critical tasks and introduces inconsistencies, especially in buildings with multiple facilities. It limits Dillon Consulting’s ability to meet increasing demand for energy management practices. There […]

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Dissecting the role of PCSK9 in sepsis

Severe sepsis strikes young and old alike with an increasing incidence of >75,000 per year in Canada at a cost of $40,000 per patient. In 40% sepsis is complicated by low blood pressure and organ failure with a mortality rate of 30-60%. The number of deaths due to severe sepsis and septic shock is greater […]

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Separation of sub-micron particles in flowing air streams: CFD modelling and design optimization

Classification and separation of solid particles immersed within an air stream plays a crucial role in aerosol separation, air filtration, fine particle recovery, and many other applications. Particle separators divide a mixture of different-sized solid particles in a flowing gas stream into fine and coarse streams. IMASCO Minerals produces ultrafine dry ground calcium carbonate (CaCO3) […]

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Industrial Applications of Frequency Comb Lidar

The goal of the proposed research project is to explore applications of frequency combs, for which laboratory applications have already been demonstrated, in an industrial setting. The research will be mainly focused on chemical sensing of stack emissions for monitoring purposes. As a secondary objective, the use of frequency combs in vibrometric measurements for structural […]

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Minimally Invasive Machine Unlearning via Monosemantic Neural Activation Identification

In the age of artificial intelligence, machines learn from vast amounts of data to make predictions and decisions. But what happens when we need them to “unlearn” something—whether to protect privacy, correct biases, or comply with regulations? Existing approaches to machine unlearning can be effective at removing specific data from a model’s memory, but they […]

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A machine learning based approach for supporting triage of HIV-related documents

The number of biomedical scientific publications available in multiple repositories is huge and rapidly growing. As of April 2014, PubMed, the largest knowledge source for biomedical and life science literature, comprises more than 23 million citations. Querying PubMed with the keyword HIV provides a list of almost three hundred thousand citations. Retrieving data of particular […]

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Suivi longitudinal des qualités physiologiques de fondeuses élite-relève

Les athlètes d’endurance ont recours à l’entraînement par intervalles de haute intensité afin de maximiser l’éventail des adaptations physiologiques qui sous-tendent la performance aérobie. Cependant, il existe une grande variabilité de réponses à l’entraînement selon les caractéristiques physiologiques des athlètes et de leur sexe, et l’identification des séances d’entraînement bénéfiques à toutes et tous est […]

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Améliorer et valider un outil de planification urbaine basé sur les risques de danger liés à la circulation, en consultation avec les groupes vulnérables

La circulation crée à la fois un risque de danger et un obstacle aux déplacements des personnes. L’analyse actuelle des dangers de la circulation se concentre sur les collisions, mais ne tient pas compte du niveau de dangerosité des rues et des intersections. Un carrefour peut ne pas connaître de collisions impliquant des enfants parce […]

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