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Skip to Search Results- 2White, Martha
- 1Abdullah
- 1Afaghi, Mohammad
- 1Ahmad, Zaheen F
- 1Ahn, Sang Jun
- 1Ajallooeian, Mohammad Mahdi
- 49Department of Computing Science
- 33Department of Civil and Environmental Engineering
- 21Department of Electrical and Computer Engineering
- 18Department of Chemical and Materials Engineering
- 8Department of Mechanical Engineering
- 5Department of Mathematical and Statistical Sciences
- 9Greiner, Russell (Computing Science)
- 6Schuurmans, Dale (Computing Science)
- 4Bowling, Michael (Computing Science)
- 4Huang, Biao (Chemical and Materials Engineering)
- 2AbouRizk, Simaan (Department of Civil and Environmental Engineering)
- 2Al-Hussein, Mohamed (Civil and Environmental Engineering)
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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...
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Applying Machine Learning Techniques to Improving Truck Productivity Prediction Accuracy at Mine Sites
DownloadFall 2023
In oil sands mining, off-the-road trucks play a leading role in transporting bulk materials (ores and waste). The productivity of truck haulage (also referred to as truck productivity), defined as the truck payload per unit time in each truck haulage cycle, is of great interest to the mining...
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Fall 2015
In this thesis, we consider two closely related clustering problems, Min Sum k-Clustering (MSkC) and Balanced k-Median (BkM). In Min Sum k-clustering, one is given a graph and a parameter k, and has to partition the vertices in the graph into k clusters to minimize the sum of pairwise distances...
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Assessment of Human Trunk Kinetics Using a Multi-Segment Model: An Approach to Minimize the Propagation of Experimental Errors
DownloadSpring 2018
Evaluating several pathological conditions such as low-back pain, scoliosis, herniated discs, and postural stability after spinal cord injury or chronic stroke requires a deep understanding of the inter-spinal interactions. Assessing the kinetics of the human head-arms-trunk (HAT) could provide...
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Fall 2011
With increasing software size and complexity, corrective software maintenance has become a challenging process. When a failure is reported, it takes time and expertise for human operators to collect the right information and pinpoint the root cause. Typically, the operators are overloaded with...
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Spring 2017
Optimizing an objective function over convex sets is a key problem in many different machine learning models. One of the various kinds of well studied objective functions is the convex function, where any local minimum must be the global mini- mum over the domain. To find the optimal point that...
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Breaking the wall of silence of trees Mining metabolomics to describe hybridization and predict performance in the Populus – Sphaerulina musiva pathosystem
DownloadFall 2017
Stem canker diseases in poplars caused by the fungal pathogen Sphaerulina musiva Peck. remain some of the least understood forest diseases despite causing considerable damage, particularly in hybrid poplar plantations. S. musiva is endemic to eastern Canada in provinces including the Maritimes,...
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Fall 2014
This study investigates the role hybrid poplar may play in reducing the cost of achieving self-sustaining status in herds of boreal caribou, an ecotype of woodland caribou, Rangifer tarandus caribou found in northeast Alberta. Boreal caribou are currently listed as threatened both provincially...
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Fall 2018
Cash is the most important resource at the disposal of a construction company, and management of cash has a direct impact on long- and short-term company performance. Accurately predicting the amount of cash-flow expected from particular construction operations, however, remains challenging due...