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.
Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 5machine learning
- 1 integrated function modelling
- 1CSA cement
- 1SHAP explainable AI
- 1alkali activated slag
- 1artificial neural network
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Application of machine learning techniques to predict the unconfined compressive strength of sustainable cementitious materials used in the mining industry
DownloadFall 2023
Balasooriya Arachchilage, Chathuranga S J
Various forms of cementitious materials, including shotcrete, grouts, and cemented paste backfill (CPB), are made with ordinary Portland cement (OPC). They are widely used for both underground and surface mining applications. However, due to the high carbon footprint of OPC production, the mining...
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Artificial Neural Network Model for Analysis of In-Plane Shear Strength of Partially Grouted Masonry Shear Walls
DownloadSpring 2018
The behaviour of partially grouted (PG) masonry shear walls is complex, due to the inherent anisotropic properties of masonry materials and nonlinear interactions between the mortar, blocks, grouted cells, ungrouted cells, and reinforcing steel. Since PG shear walls are often part of lateral...
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Estimating Winter Road Friction Coefficients: An Integrated Approach using Machine Learning, Explainable AI, and Model Transferability
DownloadFall 2023
Ensuring road safety and efficient traffic movement through Winter Road Maintenance (WRM) operations is a pressing concern, particularly during harsh weather conditions. The challenge of accurately monitoring road friction coefficients, which play a crucial role in WRM, often leads to impractical...
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Harnessing Visual Analytics for Enhanced Winter Road Safety: A Framework for Continuous Road Surface Friction Estimation
DownloadFall 2023
Winter Road Surface Condition (RSC) monitoring currently relies on qualitative descriptors such as "bare lane," "partially snow-covered," and "fully snow-covered. These descriptors present two inherent problems—their subjective nature, which gives rise to measurement inconsistencies, and the...
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Fall 2019
In Canada, demand for automated construction manufacturing has increased, and, consequently, there has been an increase in the demand for automated manufacturing systems. An opportunity exists in Canada to tap into the growing market for automated manufacturing systems; however, there is limited...