Advancing Deep Knowledge Integration

The field of artificial intelligence is traditionally divided into two broad paradigms. On one hand there are symbolic, formal, procedural, deterministic, and/or rule-based methods that often rely on a set of atomic elements and rules operating on those elements. Sometimes they are as complex as a comprehensive reasoning system. It is relatively effortless to provide […]

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Advanced Building Performance Analysis Tools for Computation Design of Building Envelopes

An early-stage design analysis methodology will be investigated for evaluating preliminary building envelope design alternatives using advanced computation and analysis tools. Design alternatives will be generated based on different envelope materials, structure, insulation types and window-to-wall ratios and evaluated based on selected metrics including energy use, daylighting, life cycle analysis and life cycle costing. A […]

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The Economic Transitions of Refugees Resettling in Rural Nova Scotia Since 2015: Learning from Refugee Newcomers, Sponsorship Groups, and Employers

The project explores the facilitators and barriers to the successful economic transitions of privately sponsored refugees resettled in rural areas of Nova Scotia since 2015. While acknowledging differences in pre-migration experiences, we seek to better understand 1) the post-migration factors shaping their economic transitions, such as gender, parental status, race, age and health; 2) how […]

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Wije’winen – Envisioning the New Mi’kmaw Friendship Centre through Participatory City and Principles of Reconciliation

The Mi’kmaw Native Friendship Centre (MNFC) in Kjipuktuk / Halifax, Nova Scotia is building a new centre and is designing the space to provide programming and services that will substantiate reconciliation for urban Indigenous communities. In order to engage the diverse populations residing in the North End neighbourhoods of Kjipuktuk / Halifax, the MNFC is […]

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Adaptive multi-horizon models for probabilistic demand forecasting

This project aims to develop an itinerary demand forecasting model that can handle long-term and short-term forecasting and adjust its parameters under changing situations. General long-term prediction models are relatively precise because the context often remains stationary over time, but can not quickly adapt to unforeseen events, like the global pandemics. It is necessary to […]

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Examining the effect of biochar on C sequestration, greenhouse gas production, and soil biogeochemistry in different agricultural operations in Alberta

Application of biochar to enhance the growth of crops and final yield in agriculture has received a lot of attention recently, while the benefits to environment through deceleration of carbon loss and greenhouse gases leading to control climate changes and global warming are poorly understood. This study focuses on possible changes of biochar on carbon […]

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STRATUM: A Digital Field Notes Tool for Archaeologists

Under the Lab2Market Program, the intern will develop and test a field notes tool called STRATUM to alleviate stresses caused by documentation in the field. The tool development will be guided by the results of three studies: 1) a qualitative investigation of user needs and sources of stress (already underway); 2) a preliminary survey of […]

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Multi-modal learning of human pose representation for conditional motion synthesis

The goal of the project is to generate realistic human movement in 3D animations. This is important to make movement animations in games and movies appear real. Typically, creating high quality animations is a resource and time consuming process that requires the participation of human actors in motion capture sessions. In this work, we present […]

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