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Skip to Search Results- 1Aftergood, Olivia SR
- 1Al Dallal, Ahmed
- 1Behsaz, Babak
- 1Berube, Paul N. J.
- 1Blouin, Karen D
- 1Brown, Daniel M.
- 12Department of Computing Science
- 5Department of Electrical and Computer Engineering
- 3Department of Civil and Environmental Engineering
- 2Department of Renewable Resources
- 1Department of Agricultural, Food, and Nutritional Science
- 1Department of Earth and Atmospheric Sciences
- 3Sander, Joerg (Computing Science)
- 1Ardakanian, Omid (Computing Science)
- 1Cockburn, Bruce (Department of Electrical and Computer Engineering)
- 1Deutsch, Clayton (Civil and Environmental Engineering)
- 1Dick, Scott (Department of Electrical and Computer Engineering)
- 1Flannigan, Mike (Renewable Resources)
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Fall 2016
Survival data is mostly analyzed using Cox proportional hazards model to identify factors associated with survival time of patients. However recently random survival forest (RSF), a non-parametric method for ensemble estimation constructed by bagging of classification trees for survival data, is...
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Fall 2018
Identifying the peptide sequence from a mass spectrum is done either by database search or De novo peptide sequencing. This thesis focuses on identification of peptides by using database search, which is a process where an MS/MS spectrum is searched against an entire database of spectra...
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Spring 2019
When a machine or a component of a machine fails, corrective maintenance is performed to identify the cause of failure and decide on a repair mechanism to restore the machine to its normal working condition. However, because the machine has failed without any prior warning, a considerable amount...
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Fall 2019
The growth of an organization in the market relies on customer’s satisfaction towards its products and services. Due to the dynamic nature of the internet, and increasing blogs, forums, and customer feedback, it usually remains a key issue in any industry to identify and extract data attributes...
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Fall 2021
Convolutional Neural Networks (CNNs) have been recently seeing great success in various image classification fields and applications. However, this success has been accompanied by a significant increase in memory and computational demands, limiting their use in resource-limited devices, e.g.,...
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Fall 2014
We address the problem of finding ‘surprising’ patterns of variable length in sequence data, where a surprising pattern is defined as a subsequence of a longer sequence, whose observed frequency is statistically significant with respect to a given distribution.Finding statistically significant...
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Spring 2018
This thesis addresses challenges in geostatistical analyses of multivariate geochemical data that commonly contain complexities that have a significant influence on geostatistical modeling and cluster analysis. For geostatistical modeling, the effect of the most common despiking methods is...
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Fall 2010
Software can be considered a live entity, as it undergoes many alterations throughout its lifecycle. Therefore, code can become rather complex and difficult to understand. More specifically in object-oriented systems, classes may become very large and less cohesive. In order to identify such...
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Identifying and analyzing spatial and temporal patterns of lightning-ignited wildfires in Western Canada from 1981-2018.
DownloadSpring 2021
This study looked at the spatial and temporal patterns of lightning-ignited wildfires in Western Canada from 1981 to 2018. Studying patterns of lightning fires over space and time can provide great insight into understanding, highlighting, and quantifying these sequences. This is of great...
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Input Space Partitioning and Other Heuristics for Minimizing the Number of Corner Simulations During Design Verification
DownloadFall 2017
The continuing reduction in the feature sizes of the latest CMOS (Complementary Metal-Oxide-Semiconductor) technologies allow faster, more compact, and more energy-efficient integrated circuits (ICs). On the downside, the performance of each transistor becomes harder and harder to characterise...