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Skip to Search Results- 39Sustainable Forest Management Network
- 5Stewart Weir Stewart Watson & Heinrichs
- 4Müller, Martin
- 3Athabasca Tar Sands Corridor Study Group
- 3D'Eon, Rob
- 3Mueller, Martin
- 66Graduate and Postdoctoral Studies (GPS), Faculty of
- 66Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 39Sustainable Forest Management Network
- 39Sustainable Forest Management Network/Research Notes (Sustainable Forest Management Network)
- 22Oil Sands Research and Information Network (OSRIN)
- 18Computing Science, Department of
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2023-09-12
NFRF-I awarded 2024: This project focuses on enhancing energy transition planning, recognizing that such plans must: integrate mitigation and adaptation; embrace a justice framework; and be socio culturally embedded within local geographies. This demands direct engagement with the diverse peoples...
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2023-10-13
The slides accompany a ChatGPT workshop that is intended for university students to learn more about generative AI and in the context of ChatGPT. This work is licensed under a Creative Commons license so that others may share and adapt the content for other purposes as long as appropriate credit...
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Enhancements to Methods for Planning and Scheduling Fabrication Projects Utilizing Multiskilled Labour Resources
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In prefabrication and off-site construction, various multiskilled work crews need to be assembled to work on different workstations to process custom-designed work units, each having specific requirements for material handling, assembly connections, welding, etc. However, the frequent labour...
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On Efficient Planning in Large Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
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A practical challenge in reinforcement learning is large action spaces that make planning computationally demanding. For example, in cooperative multi-agent reinforcement learning, a potentially large number of agents jointly optimize a global reward function, which leads to a blow-up in the...
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{Multi-Agent Deep Reinforcement Learning for Autonomous Energy Coordination in Demand Response Methods for Residential Distribution Networks
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In the field of collaborative learning and decision-making, this thesis aims to explore the effects of individual and joint rewards on the performance and coordination of agents in complex environments. The research objectives encompass two main aspects: firstly, to determine the objective...
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Data-Driven and Artificial Intelligence Approach to Dynamic Truck Fleet Dispatching and Shovel Allocation Planning in Open-Pit Mines
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An open-pit mine is a highly dynamic environment where different equipment resources are allocated to mining areas to extract metal-bearing rock and waste, for pit development, following a set flow of activities. The material mined is then transported through the mine road network to different...
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Development of AI-based ergonomics risk assessment tools for harmonization of industrial work systems
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Manufacturing industry workers face significant ergonomic risks due to poorly designed work systems. Consequently, it is crucial to periodically assess work systems to identify areas for improvement. However, the assessment process is often disregarded due to the absence of userfriendly...
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Fall 2023
Many works of art are created through the process of an artist sketching and then incrementally increasing the fidelity of the artwork. This requires significant amounts of work and effort throughout, but not all steps require the same amount of artistic input. Certain parts only require...