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Skip to Search Results- 1AbouRizk, Simaan (Construction Engineering and Management)
- 1Giseon Heo (Dentistry)
- 1Hauer, Grant (Resource Economics and Environmental Sociology)
- 1Kashlak, Adam (Mathematical and Statistical Sciences)
- 1Luckert, Marty (Resource Economics and Environmental Sociology)
- 1Parsons, Ian (Computing Science)
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Fall 2024
Motivated by Elizabeth Meckes’ work on concentration inequalities using the group SO(n) (see [9]), this thesis explores the use of random rotations for detecting autocorrelation in time series data. Traditional tests like the Durbin Watson test assess autocorrelation by analyzing quadratic forms...
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Fall 2016
Topology is a useful tool of mathematics studying how objects are related to one another by investigating their qualitative structural properties, such as connectivity and shape. In this thesis, we applied the method of topological data analysis (TDA) on sequence data and adopt the theory of...
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Price Relationships and Feedstock Supply for a Second-Generation Ethanol Industry in Canada
DownloadFall 2020
There is potential for a second-generation ethanol industry that uses wheat straw as a feedstock to emerge in Western Canada. This thesis presents three analyses that investigate regional and international factors that influence the future success of this industry. The first two analyses...
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Time Series and Machine Learning Approach for Forecasting the Demand for Small Equipment, Tools, and Consumables for Industrial Construction Projects
DownloadSpring 2024
The high consumption and utilization of demand for small equipment, tools, and consumables in construction projects underscores the necessity for effective procurement strategies. Accurate estimation of these consumables is crucial for moving toward project completion in a timely manner. With...
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Fall 2013
Time series discords, as introduced in by Keogh et al. [5] is described as the subsequence in the time series which is maximally different from the rest of the subsequences. Discovery of time series discords has been applied to several diverse domains including space shuttle telemetry, industry,...
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Fall 2018
Time series has become prevalent in a broad range of real-world applications such as weather, health care, agricultural production, satellite image analysis, speech recognition, industrial process control, and others. This type of data comes as a collection of observations obtained...