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Skip to Search Results- 1Aftergood, Olivia SR
- 1Al Dallal, Ahmed
- 1Atwood, Gordon Harold.
- 1Behsaz, Babak
- 1Berube, Paul N. J.
- 1Blouin, Karen D
- 25Department of Computing Science
- 5Department of Electrical and Computer Engineering
- 4Department of Electrical Engineering
- 3Department of Chemical Engineering
- 3Department of Civil and Environmental Engineering
- 2Department 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 2012
Recent proliferation of low-cost and lightweight GPS tracking devices led to a large increase in the amounts of collected mobility data. The rapidly emerging field of location-based services requires accurate and informative knowledge mining from these large quantities of data. One such mobility...
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Fall 2017
Density-based clustering methods extract high density clusters which are separated by regions of lower density. HDBSCAN* is an existing algorithm for producing a density-based cluster hierarchy. To obtain clusters from this hierarchy it includes an instance of FOSC(Framework for Optimal Selection...
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Fall 2015
The objective of this thesis is to develop, implement and verify a theoretical framework based upon aggregation and mathematical programming for solving the long-term open pit production planning problem. The goal is to closely estimate the maximum net present value of the operation by providing...
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Algorithmic Awareness Among Computing Science Students: Exploring Perspectives on Responsible Design and Use of Social Media
DownloadFall 2022
Computational literacy and awareness have emerged as significant public and academic concerns. Implementing robust algorithm systems on social communication platforms may have positive and negative consequences on all age groups in society, particularly on the most frequent users, young adults....
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Fall 2011
An industrial construction enterprise operating in the City of Edmonton wants to improve its bidding strategies that are currently plagued with uncertainty, lack of information and historical price variability. The present research studies a compilation of documents obtained from company archives...
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Application of Machine Learning in the Big Data for Broiler Breeders Recorded by a Precision Feeding System
DownloadSpring 2021
A precision feeding (PF) system developed at the University of Alberta is an innovation in precise nutrition and management for broiler breeders. The PF system can automatically feed individual broiler breeders and record vast amounts of real-time data regarding the feeding activity of individual...