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Skip to Search Results- 1Adria, Marco (Supervisor)
- 1Alshehri, Naeem S.
- 1Altaf Arain, M.
- 1Amirian, Ehsan
- 1Anderson, Gwen.
- 1Anderson, R.S.
- 32Graduate and Postdoctoral Studies (GPS), Faculty of
- 32Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 2Renewable Resources, Department of
- 2Renewable Resources, Department of/Journal Articles (Renewable Resources)
- 1Law, Faculty of
- 1Law, Faculty of/Journal Articles (Law)
- 15Department of Civil and Environmental Engineering
- 3Department of Computing Science
- 3Department of Mechanical Engineering
- 3Faculty of Nursing
- 2Department of Chemical and Materials Engineering
- 1Department of Biological Sciences
- 4Deutsch, Clayton (Civil and Environmental Engineering)
- 2Li, Zukui (Chemical and Materials Engineering)
- 1 Gan, Thian Yew (Department of Civil and Environmental Engineering)
- 1AbouRizk, Simaan (Civil & Environmental Engineering)
- 1AbouRizk, Simaan (Civil and Environmental Engineering)
- 1Boisvert, Jeff (Mine Engineering)
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Spring 2014
Bleeding during pregnancy affects as many as one in four pregnancies with roughly half of these resulting in pregnancy loss. An interpretive descriptive design was employed to explore the research question: “How do women with bleeding in early pregnancy describe their experience of waiting in the...
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Spring 2011
The goal of top-k ranking is to rank individuals so that the best k of them can be determined. Depending on the application domain, an individual can be a person, a product, an event, or just a collection of data or information for which an ordering makes sense. In the context of databases, top-k...
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Spring 2021
The backpropagation algorithm is a fundamental algorithm for training modern artificial neural networks (ANNs). However, it is known the backpropagation algorithm performs poorly on changing problems. We demonstrate the backpropagation algorithm can perform poorly on a clear, generic, changing...
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Uncertainty in Life Cycle Assessments of Well-to-Wheel Greenhouse Gas Emissions of Transportation Fuels Derived from Various Crude Oils
DownloadFall 2016
Growing concern over climate change has created pressure on the oil and gas industry to reduce their greenhouse gas (GHG) emissions. Several life cycle assessment (LCA) studies have examined various crude oils in an attempt to determine which have the lowest and highest well-to-wheel (WTW) GHG...
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Uncertainty in Probabilistic Open Pit Slope Stability Analyses: Implications for Reliability-Based Designs
DownloadSpring 2024
The presence of uncertainty is acknowledged in various fields of Engineering. Also, there are many sources of uncertainties. In geotechnical engineering, probabilistic slope stability analysis (PSSA) is a tool used to quantify parameter uncertainty. It achieves this by considering any strength...
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Fall 2011
Villalba Matamoros, Martha Emelly
Analysis of uncertainty in ore reserves impacts investment decisions, mine planning and sampling. Uncertainty is evaluated by geostatistical simulation and is affected by the amount of data and the modeling parameters. Incomplete uncertainty is given because the parameter uncertainty is ignored....
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Uncertainty in well-to-tank with combustion greenhouse gas emissions of transportation fuels derived from North American crudes
Download2017-01-01
Di Lullo, Giovanni, Zhang, Hao, Kumar, Amit
Many studies have calculated deterministic point estimates of well-to-combustion (WTC) emissions of transportation fuels from crude oil in an attempt to determine which crude oils have lower or higher emissions. However, there is considerable variation in the published results, resulting in...
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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 2022
Estimating costs for construction projects is a complex and often uncertain process. Given the inherent uncertainty of estimating and the unique risk profile of each construction project, many owners use cost uncertainty analysis to understand a project’s range of potential costs. Since results...