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Skip to Search Results- 1Adria, Marco (Supervisor)
- 1Alshehri, Naeem S.
- 1Altaf Arain, M.
- 1Anderson, Gwen.
- 1Anderson, R.S.
- 1Baker, I.T.
- 27Graduate and Postdoctoral Studies (GPS), Faculty of
- 27Graduate 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)
- 12Department 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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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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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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Fall 2010
Bioclimate envelope models are widely used to project potential species habitat under changing climate. Conceptually, these models are also well suited to match natural resource management practices to new climatic realities, for example by guiding species choice in reforestation programs....
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Fall 2010
A challenge in petroleum geostatistics is the application of modeling algorithms such as Gaussian simulation to unstructured grids that are being used for flow simulation. Geostatistical modeling is typically applied on a fine scale regular grid and then upscaled to the unstructured grid. This...
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2007
Lerner, Craig S., Yahya, Moin A.
Introduction: According to a recent issue of Business Week, many hotshots of American industry are fleeing publicly traded corporations for \"the money, freedom and glamour of private equity.\"' Among the reasons cited for their departure is the Sarbanes-Oxley Act of 2002, which not only...
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Spring 2014
The need for specialized software, particularly for repetitive construction is growing. Although simulation has been accepted in the research world, the industry has been slow to follow. The goal of this research is the development of a special purpose template for linear scheduling that is...
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Spring 2011
While evidence-based practice and knowledge translation (or transfer) has garnered much attention, research has not focused on health information as provisional and emergent, and on knowledge translation (KT) as a process of social construction. The challenge of evolving information is magnified...
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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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Spring 2016
Uncertainty in resource estimation affects long-term development, planning, and investment decisions. Therefore, there is a need to make the best decisions considering all available data and different modeling approaches. This thesis develops a conceptual framework for resource modeling with...