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Spring 2023
The gaming industry has experienced a sharp growth in recent years, surpassing other popular entertainment segments, such as the film industry. With the ever-increasing scale of the gaming industry and the fact that players are extremely difficult to satisfy, it has become extremely challenging...
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Spring 2023
Dialogue systems powered by large pre-trained language models exhibit an innate ability to deliver fluent and natural-sounding responses. Despite their impressive performance, these models fail to conduct interesting and consistent exchanges of turns and can often generate factually incorrect...
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Spring 2023
This thesis sets out a workflow to quantify uncertainty of the Arrow Deposit, a tabular, vein type, high-grade, basement-hosted, uranium deposit located on NexGen Energy Limited’s 100%-owned Rook I property in northern Saskatchewan. The uncertainty associated with the volume, grade, and density...
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Spring 2023
Software libraries provide reusable code that allow developers to include needed functionality without committing time and effort to develop the functionality themselves. To benefit from the code reuse, developers first compare multiple libraries that offer the needed functionality and spend time...
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Spring 2023
Oblique decision trees use linear combinations of features in the decision nodes. Due to the non-smooth structure of decision trees, training oblique decision trees is considerably difficult as the parameters are tuned using expensive non-differentiable optimization techniques or found by...
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Spring 2023
We introduce "optimization through protocol selection" (OPS) as a technique to improve bulk-data transfer on shared wide-area networks (WANs). Instead of tuning the parameters of a network protocol, our empirical results show that the selection of the protocol itself can result in up to four...
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Spring 2023
Predicting a dense depth map from LiDAR scans and synced RGB images with a small deep neural network is a challenging task. Most top-accuracy methods boost precision by having a very large number of parameters and as a result huge memory consumption. Whereas, depth completion tasks are commonly...
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Sizing, Operation, and Evaluation of Battery Energy Storage with Dynamic Line Rating and Deep Learning
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Integration of renewables has the potential to reduce society’s reliance on carbon-based fuels. Sizing renewable-energy installations is key to making a successful business case for the construction of new assets. Dynamic thermal line rating is the amount of current in real-time that a...
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Sedimentological, Ichnological, and Architectural Characteristics of Geobodies in a Fluvial to Estuary Setting: the McMurray Formation in the Christina River area, NE Alberta, Canada
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The Lower Cretaceous McMurray Formation is the primary host of the crude bitumen reserves in the Athabasca Oils Sand Region. The regionally extensive meander belts associated with estuary point bars have been recognized as the primary reservoir facies in the McMurray Formation. It is widely...
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Using Automated Procedures to Score Written Essays in Persian: An Application of the Multilingual BERT System
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The automated scoring of student essays is now recognized as a significant development in both the research and practice of educational testing. The majority of the published studies on automated essay scoring (AES) focus on outcomes in English. Studies on multilingual AES—meaning languages other...