Efficacy of Harm Reduction Approaches to Hoarding in Social Housing

Hoarding involves keeping so many objects that the home becomes unsafe or unhealthy. Due to fire risks and other issues, hoarding can also be unsafe for neighbours – risks that housing providers must manage. A common strategy in social housing settings is to evict the tenant or forcibly clean out the unit, traumatic practices that […]

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Business-Oriented User Persona Construction and Preference Prediction: A Big Data-Based Machine Learning Approach

In this project, a group of scholars in computer science and business proposes using state-of-the-art machine learning methods for secondary-data-based persona construction and preference prediction. Specifically, the researchers will use recent data dimension reduction methods to process the raw data, use new machine learning models to achieve better learning results, and use self-supervised technology and […]

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Hypothesis transfer in medical image analysis

Recent years have seen a wealth of clinical evidence accumulate in favor of the radiomics hypothesis, wherein standard-issue oncological medical images, such as CTs, PET-CTs and MRIs, exhibit reliable fingerprints of cancer tumor genetic makeup, enabling predictions of patient prognosis, treatment resistance and side effects to be made directly from an analysis of imaging data. […]

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Investigating social-ecological enabling conditions for the revitalization of Indigenous clam management systems in an urban context

The general objective of the proposed activity is to increase the future productivity of Burrard Inlet and the contribution of seafood to the diet of Tsleil-Waututh Nation (TWN) members in support of the TWN Cumulative Effects Monitoring Initiative. Specifically, we propose to identify the primary environmental drivers of clam productivity and species composition in Burrard […]

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Identification of sensitive information by natural language processing (NLP)

This project will improve the learning capacities to recognize confidential information in documents of various formats. Thus, our project has to set up a technology (natural language process NLP and others) that emulates the way in which humans read a document and to process this information using inference rules and a master data.

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Does investing in transition firms yield a carbon alpha ?

In recent years there has been increased demand for investment solutions that are respectful of the environment. Some firms have answered that demand by committing to reduce their Carbon emissions in order to help with the transition towards a green economy. These firms, to which we refer as “transition firms” are thus natural candidates for […]

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Développement d’une formulation à base d’enzymes efficaces pour la dégradation des hydrocarbures pétroliers dans les sols et les eaux souterraines

La pollution de l’environnement par les hydrocarbures pétroliers (HP) devient une problématique majeure. Plusieurs traitements chimiques, thermiques, biologiques, etc. des eaux et sols contaminés aux HP sont utilisés, in situ ou par excavation. Cependant, pour les applications in situ, les traitements biologiques paraissent comme une meilleure solution, car ils sont plus écologiques et répondent aux […]

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Test d’acceptation de la démarche technologique Plan Monark et validation de son indicateur de convergence en contexte de gestion de projet

Plan Monark est une démarche technologique de type SAAS sur le point d’être commercialisée. Afin de s’assurer que la démarche technologique réponde aux besoins des chargés de projet ou intervenants conseil qui l’utiliseront, Plan Monark désire soumettre sa démarche technologique à un test d’acceptation en plus de valider l’utilité de son indicateur de convergence (entre […]

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Improving the tools for assessment and analysis of energy losses through building envelopes using Infrared Thermography (IRT), Unmanned Aerial Systems (UAV), and Artificial Intelligence (AI)

IR imaging presents the temperature distribution of the exterior surface of a wall and is typically assessed through visual inspection by building science experts. A specialist must review numerous images one by one which is inefficient and inaccurate. The use of Unmanned Aerial Vehicles (UAVs) with IR camera attachments has become a method of faster […]

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Evaluating the Role of Learning and Experience on Postural Response and Fall Prevention in Offshore Environments

Slips, trips, and falls (STFs) are a major concern in occupational environments, accounting for a significant portion of all reported work-related injuries. These concerns are even greater in moving environments, like those of Newfoundland and Labrador’s offshore petroleum industry. This proposed research aims to address the industry’s STF concerns through analysis of worker’s postural responses […]

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