This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
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Real-time Quality Control for Offsite LGS Frame Manufacturing using Vision-based Deep Learning
DownloadFall 2024
Efficiency and accuracy are crucial in offsite panelized construction, including in the production of light-gauge steel frames. Maintaining consistent screw fastening is an ongoing challenge in the construction industry, and defective screw fastening can lead to quality problems in panelized...
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Response competition operates on movement direction and is effector-independent: Evidence from three free choice reaching tasks
DownloadFall 2018
People and other organisms live in complex environments where the number of potential actions is almost always greater than the number of actions that can be performed at a time. Thus, organisms must make decisions about which actions to perform and which to not perform. Theories about how action...
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The roles of Pbx and Meis TALE-class homeodomain transcription factors in vertebrate neural patterning
DownloadFall 2010
One of the major goals of developmental biology is to understand how specialized groups of cells arise from an initially unspecified cell population. The vertebrate hindbrain is transiently segmented along its anterior-posterior axis into lineage-restricted compartments called rhombomeres, making...
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The World in an Object Lesson: Visual Pedagogies in Children's Literature Produced for the 1893 Columbian Exposition
DownloadSpring 2018
The World in an Object Lesson addresses the ways in which nineteenth-century reading audiences of the United States were taught to make sense of the visual stimulus of worlds fairs. The Object Lesson was one visual method which was both promoted and critiqued in the material culture of the...
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Spring 2016
When controlling dynamic systems such as robots a big challenge lies in defining how the desired actions will be accomplished. In industrial settings automation has been possible due to the structured and predictable environments. The repeatability of the tasks makes it viable to manually...
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Fall 2021
Deep neural network (DNN) has been developed rapidly in years. While it shows promising results in various tasks of computer vision, DNN typically suffers from accuracy loss due to the domain shift from a source domain to a target domain. To mitigate the accuracy loss without the label from...