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-
A Data-Driven Neural Network Model to Correct Derived Features in a RANS-Based Simulation of the Flow Around a Sharp-Edge Bluff Body
DownloadSpring 2023
In this dissertation, a machine-learning method is utilized to enhance the accuracy of wake parameters calculated by Reynolds Averaged Navier Stokes (RANS) k-ω SST model of flow on and around wall-mounted rectangular cylinders. Using high-quality results from Large Eddy Simulation (LES), this...
-
Analysis of the effectiveness of magnetic filters of shovel hydraulic system and successive hydraulic failure prediction using data-driven approaches
DownloadFall 2022
Surface mining dominates the world's production of minerals. Currently, almost all non-metallic minerals (more than 95 %), most metallic minerals (more than 90%), and a significant fraction of coal (more than 60%) are mined by surface mining methods. The hydraulic shovel-truck system forms the...
-
Data-Driven Based Methods for Physical Layer Detection and Estimation in 5G and Beyond Wireless Communication Systems
DownloadFall 2023
The fifth-generation (5G) mobile network is growing rapidly and is set to revolutionize the way we communicate, work and live. It offers faster speeds, lower latency, and greater capacity than previous generations of mobile networks. Three main use cases have been defined for fifth-generation...