Impacts de la crise de la COVID-19 sur le secteur des arts et de la culture et la transformation des organisations culturelles

Le secteur des arts et de la culture est l’un plus touchés économiquement par crise de la COVID-19. Cette crise impose aux organisations culturelles de profondes transformations tant sur le plan de leur modèle d’affaires que de leur gestion. La reprise de leurs activités exigera aussi des adaptations importantes. Ce projet de recherche vise donc […]

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Tracking community movements through real-time visualization and predictive analytics to manage the spread of COVID-19

As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, […]

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Real-time Optimization of Freshwater usage in Aquatic Facilities based on Occupancy and Water Quality data Using Machine Learning Methods.

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and […]

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Develop a web based geospatial artificial intelligence framework to track, visualize, analyze, model, and predict infectious disease spread in real-time.

As location is an integral part of both population and individual health, there is an emerging role for geospatial artificial intelligence (GeoAI) technology in health and healthcare. Novel infectious diseases such as COVID-19 are associated with population density, environmental factors, and interactions between humans and wildlife. GeoAI technology can be used to collect and analyze […]

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Smart Particles to Prevent COVID-19 Infection & Complications

The COVID-19 pandemic has had an unprecedented global effect. While social distancing and proper PPE can minimize the spread of the virus, at risk populations have remained vulnerable. With additional waves of infection are likely to occur, there is an urgent need for an innovative protective solution. In the current project, we will repurpose a […]

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Semi and weakly supervised clinical data labelling for deep learning NLP

We are building a machine learning algorithm to be able to better understand the messy clinical notes that doctors write on patients and to automatically structure them. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how […]

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Detection of PPE in healthcare settings using machine learning

We propose utilizing real-time image detection of humans (visitors and healthcare workers) using personal protective equipment (I.e. masks, gloves, and gowns) in healthcare settings. This system would ensure proper compliance of PPE use to reduce the transmission COVID and other healthcare based infections, thereby saving lives, reducing hospital stays and costs. This builds off literature […]

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ADAJ- Pratiques juridiques controversées

La présente demande concerne le chantier de recherche sur les « Les pratiques juridiques controversées » : Une partie des coûts de la justice est attribuable à des pratiques situées aux limites de la déontologie professionnelle : rapport collusoire entre praticiens, multiplication des dépenses douteuses, honoraires abusifs, exploitation de l’ignorance des justiciables, engagement dans des […]

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AI-enhanced lung ultrasound to detect lung involvement in COVID-19

The COVID-19 virus causing the current pandemic leads to severe illness and death when it involves the lungs. This occurs in a way that conventional X-Rays often cannot show. Experience in other countries and with a similar condition known as ARDS suggests that lung ultrasound can accurately detect COVID-19 lung involvement. Lung ultrasound is harmless […]

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Development of a robust armoured RNA standard for the rapid clinical diagnosis of COVID-19

COVID-19, the respiratory disease caused by the novel SARS corona virus, has been a global threat for months now. The pandemic has crippled global healthcare sectors and economies. Early, rapid, and accurate detection of the contagion is critical for isolating infected patients to prevent further community spread. Currently, most communities in Canada suffer from insufficient […]

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