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.
Search
Skip to Search Results- 22Machine Learning
- 3Deep Learning
- 2Communication
- 2Data-driven Seismic Analysis
- 2Deep Neural Networks
- 2Dynamics of Structures
- 1Al-Masri, Mohammad
- 1Alla, Hemanth Reddy
- 1Altawil, Shadi N A
- 1Bennett, Liam
- 1Denisse Magdalena Diaz Merino
- 1Huang, Yunyan
- 2Apel, Derek (Civil and Environmental Engineering)
- 2Imanpour, Ali (Civil and Environmental Engineering)
- 1AbouRizk, Simaan (Civil and Environmental Engineering)
- 1AbouRizk, Simaan (Construction Engineering and Management)
- 1Abourizk, Simaan (Civil & Environmental Engineering)
- 1Ahmed, Bouferguene (Campus Saint-Jean - Academic Support)
-
Spring 2022
Numerical simulation and hybrid simulation are extensively used in earthquake engineering to evaluate the seismic response of structures under seismic loading. Despite the advances in computing power and the development of efficient integration algorithms in the past, numerical simulation...
-
Development and Evaluation of Interpretable Machine Learning Models for Mitigating Winter Road Safety – An Empirical Investigation
DownloadFall 2024
In Canada, winter crashes account for a significant portion of crashes each year. This thesis investigates the utility of machine learning (ML) for understanding and mitigating winter road risks. Despite their potential to achieve high predictive performance in the face of complex data...
-
Enhancing the Architecture of Context-Aware Driver Assistance Systems by Incorporating Insights from Naturalistic Driving Data
DownloadSpring 2019
Driving assistance systems (DASs) have received a great deal of attention in the past decades as an active and effective collision countermeasure. DASs potential benefits will be attained by enhancing the systems’ awareness regarding the dynamic driving context including the change in the driver...
-
Exploring Machine Learning Techniques for Predicting Open Stope Stability in Underground Mining: Evaluating Accuracy and Applicability
DownloadFall 2024
Underground mining operations are inherently dangerous due to a variety of factors present in a mining environment. Firstly, the confined spaces and limited ventilation, the use of heavy machinery, explosives, and drilling equipment poses significant risks to the safety of workers. Moreover,...
-
Fall 2023
Pavements in cold regions face challenging environmental conditions, including prolonged periods of extreme cold, frost heave, and freeze-thaw cycles during late winter and early spring. These factors contribute to premature damage, reduced service life, and increased maintenance costs for cold...
-
Multi-Level Knowledge Extraction and Modeling to Support Job Hazard Analysis Process for Oil and Gas Pipeline Projects
DownloadFall 2017
Construction projects are impacted negatively by construction safety incidents. Job hazard analysis (JHA) process is a critical process component of safety management system in the construction industry. The JHA process is a planning process that aims to address potential hazards associated with...
-
Multimodal Hand Signal and Speech Communication Classification Framework for the Construction Industry: The Case of Communication between Crane Signalman and Crane Operator
DownloadFall 2023
On construction sites, communication is key to boosting teamwork and improving worker performance. It allows workers to coordinate their activities, share information, and respond to potential hazards quickly and efficiently. In current practice, workers on construction sites typically rely on...
-
Prioritizing Labour Productivity Improvement Strategies by Integrating Hybrid Feature Selection, Fuzzy Multi-Criteria Decision-Making, and Fuzzy Cognitive Maps
DownloadFall 2021
Construction labour productivity (CLP), as a key performance index in the construction sector, is affected by various factors such as crew motivation and working conditions that are highly interconnected and vary on a project-by-project basis. CLP can be enhanced by properly practicing...
-
Fall 2024
Numerical simulation is extensively used in advanced analysis of structures under seismic loading. Even though computational power and solution algorithms have advanced over the years, response evaluation of complex structures using numerical methods can still be challenging due to high...