Building a Data Fluent Canadian Cultural Sector

21st century Canada requires a data fluent arts and culture sector. The cultural sectors and their funders must mobilize data to understand the impact and value of their efforts in Canada and abroad, and to improve these efforts. Building a Data Fluent Canadian Cultural Sector will identify existing data collection efforts in Canada, describe data […]

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Developing Machine Learning Methods for RGB Images to Quantify Crop and Weed Populations Across Agricultural Fields

Food security is a global concern due to the ever-increasing population amid limited agricultural land resources. Farmers utilize fertilizers and herbicides to ensure consistent crop establishment. However, overuse of fertilizers and other treatments leads to negative consequences resulting in soil depletion, environmental contamination, and pollution. An effective way to reduce these toxic chemicals is to […]

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To develop an AI model for predicting future lung cancer in low-dose screening CT

Screening with low-dose CT has been shown to significantly reduce lung cancer related mortality in high-risk ever-smokers. Interval cancer (IC) is a rising challenge in lung cancer screening because it usually presents in an advanced stage (stage III/IV non-small cell cancer) or is more biologically aggressive (i.e., small cell histology) and have a poorer prognosis […]

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Regenerative Tourism Strategies within Kelowna BC to Promote Destination Development and Environmental Sustainability

For many communities, the tourism industry is an important and integral part of their cultural, social, and economic capital. It provides many jobs, salaries, and wages within local communities contributing to overall gross domestic product. While this industry creates opportunity and revenue there are also negative environmental impacts that cannot be ignored. The tourism industry […]

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Analytique des données pour la prédiction des heures d’arrivée des navires

Le projet vise à collecter, préparer et traiter les données chez l’entreprise XST pour contribuer à la mise en place d’un système prédictif pour les heures d’arrivée et les vitesses des navires, en valorisant les données collectées au sein de l’entreprise. Il s’agit également d’explorer l’utilisation de méthodes d’analyse de données et d’apprentissage automatique pour […]

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Out-Of-Distribution Weed Detection and generalization

Weeds can negatively impact agricultural fields, which compete with crops for nutrients, water, light, and space. Herbicides are still the most used control method. However, over time, this strategy may negatively impact the environment, and organic farming standards forbid the excessive use of herbicides. For efficiency, drones collect images from fields to automatically sense and […]

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Assess with the best: New product development and continuous improvement of the SuccessFinder psychometric assessment

Research problem: Ensuring the SuccessFinder psychometric test is updated and has solutions to meet client needs for data-driven HR. In addition, refining the application of personality to person-job fit, team effectiveness and leadership. Significance: closing the research-practice gap, equipping HR with the most relevant people data to weather upcoming disruption and change in the job […]

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Improved Surveillance and Flight Efficiency using Autonomous Soaring

To address the challenge of increasing flight endurance for Unmanned Aerial Vehicles (UAVs), a novel technique involving the exploitation of atmospheric energy, typically by soaring in thermal updrafts, is being developed. The AUTOSOAR algorithm developed in a previous Mitacs project permits the UAV to rely less on its onboard motor to maintain altitude, and reduce […]

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Verrous et leviers d’acceptabilité des projets de rues conviviales en Amérique du Nord

La recherche éclaire trois défis auxquels sont confrontées les municipalités dans les projets d’aménagement de « Rues conviviales » (RC) qu’elles réalisent. Ces projets suscitent parfois des réticences au sein des services municipaux, lors de la conception et la gestion de ces nouveaux espaces. Des oppositions voire des conflits peuvent aussi émerger au sein des […]

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Développement de vaccins multivalent vivant atténué contre les infections respiratoires causées par les Escherichia coli pathogènes aviaires

Les Escherichia coli pathogènes aviaires (APEC) sont des pathotypes particulièrement importants pour l’industrie avicole, car il provoque la colibacillose, une maladie entraînant des pertes économiques importantes en raison de la mortalité et/ou de la baisse de productivité des oiseaux affectés. Étant donné que plusieurs souches d’APEC sont impliquées dans les épidémies, le développement de vaccins […]

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Behavioral Model of Charge-Trap Transistors

Conventional von Neumann architectures rely heavily on communication between memory and compute elements, making them power hungry. In recent years, therefore, neuromorphic computing based on low-power compute-inmemory devices has been gaining interest. One of the essential aspects of such systems is the hardware modeling of synapses that are expected to store weights that represent the […]

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Non-destructive testing of utility poles in service

Wooden utility poles provide safe, economic, easily obtainable means of delivering power, communications, and cable television to the masses of industrial and residential locations worldwide. However, when a pole has been in service for a substantial number of years, its failure becomes more likely. Hence, the proposed project focuses on the strength estimation of in-service […]

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