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Skip to Search Results- 1Alshehri, Naeem S.
- 1Anderson, Gwen.
- 1Batty, Matthew
- 1Cabral Pinto, Felipe A
- 1Commance, Jaycee M
- 1Deng, Jian
- 11Department of Civil and Environmental Engineering
- 3Department of Mechanical Engineering
- 3Faculty of Nursing
- 2Department of Chemical and Materials Engineering
- 2Department of Computing Science
- 1Department of Biological Sciences
- 4Deutsch, Clayton (Civil and Environmental Engineering)
- 2Li, Zukui (Chemical and Materials Engineering)
- 1AbouRizk, Simaan (Civil & Environmental Engineering)
- 1AbouRizk, Simaan (Civil and Environmental Engineering)
- 1Boisvert, Jeff (Mine Engineering)
- 1Cunha, Jose Carlos (Petrobras America Inc.)
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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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Fall 2023
Calculating and modeling a variogram from sparsely sampled data can be complex and time-consuming due to the need for expertise in selecting the appropriate parameters and fitting functions to the experimental variogram. To assist with variogram modeling, a novel approach based on Convolutional...
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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...
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Fall 2022
Life cycle assessment (LCA) is becoming a popular tool to quantify environmental impacts including greenhouse gas (GHG) emissions. Because of the high number of assumptions and low quality of available data, the results of LCA are often viewed with skepticism. It is common for studies to provide...
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Spring 2022
Reinforcement learning (RL) has shown great success in solving many challenging tasks via the use of deep neural networks. Although the use of deep learning for RL brings immense representational power to the arsenal, it also causes sample inefficiency. This means that the algorithms are...
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Fall 2021
This thesis aims to investigate, develop and advance solution techniques for optimization under uncertainty in process control, scheduling and operations research applications. Decision rule methods offer a rich and flexible framework for solving these classes of problems. Recent literature has...
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Decision Models for Operation and Maintenance of Offshore Wind Farms Considering Uncertainties
DownloadFall 2020
Wind energy is an important renewable resource to meet the continually increasing global energy demand. The high wind power potential in the sea has led to the development of wind farms in the sea, referred to as offshore wind farms (OWFs). OWFs are an array of wind turbines built in the sea to...
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Fall 2018
Canada has the third largest oil reserves in the world where 97% of these reserves are located in the oil sands, Alberta province. The product resulted from the extraction of oil sands reserves is called bitumen which can be diluted and shipped to the market or it can be proceeded and upgraded...
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Fall 2017
Network connectivity is an indispensable component of any computer related activities. Any computer-like machine is connected to some kind of a network, which is further connected to another computer network. Technological advances allow users to connect any devices and use multiple applications....
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Fall 2016
Collecting information is of vital importance for the development of a mineral project. The capital costs of mining projects are high and there is significant risk due to the available data. At all stages of a project, from exploration to mine closure, decisions need to be made that are based off...