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- 144Graduate and Postdoctoral Studies (GPS), Faculty of
- 144Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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- 7Computing Science, Department of/Technical Reports (Computing Science)
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- 144Thesis
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- 4Article (Published)
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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...
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Spring 2021
Deep learning has revolutionized many fields that process large amounts of data such as images, video, audio, speech, and text. Anomaly detection, however, is among the areas that still require major advancements. Based on the key traits of deep learning, which are the need for very little hand...
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Application of Data Mining Techniques for Fault Diagnosis and Prognosis of High Pressure Fuel Pump Failures in Mining Haul Trucks
DownloadFall 2021
Mining companies are investing in fewer but larger equipment, and downtime associated with larger equipment now represents a higher percentage of operational capacity loss. Thus, it is essential to frequently and accurately monitor the health of this equipment to avoid unscheduled breakdowns and...
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Fall 2021
The warm vaporized solvent injection process has been proposed as a more environmentally friendly alternative to steam-based technologies for bitumen recovery. The process typically involves injecting heated solvent vapor into a horizontal injector; the solvent condenses and dissolves into...
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2023-04-01
The telecommunication industry has experienced considerable improvement and changes during the past years. Many standards and protocols have been introduced and implemented. This revolution in Radio Access Networks (RAN) is known as GSM, UMTS, LTE, 5G, and now B5G networks. Satisfying the user...
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Spring 2021
This thesis applies computer vision and machine learning techniques to three engineering projects: a self-driving vehicle, a predictive display system, and a vision-based robot manipulator joint detector. In the first project, we build a remote-controlled car and implement three core self-driving...
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Fall 2021
As a key infrastructure of constructing the Internet of Things, wireless sensor networks (WSNs) have attracted plenty of research interest. It is expected to be widely applied in almost every aspect of future life. Nowadays, some preliminary applications and prototypes have emerged in various...
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Assessing the Capabilities of a Multispectral Unmanned Aerial System (UAS) at the Santa Rosa Environmental Monitoring Super Site, Costa Rica
DownloadFall 2018
The main objective of this thesis was to assess the capabilities of an Unmanned Aerial System (UAS) equipped with a multispectral camera at the Santa Rosa Environmental Monitoring Super Site, Guanacaste, Costa Rica (SR-EMSS). Nowadays, available solutions for processing UAS multispectral imagery...
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Assessing the Feasibility of Learning Biomedical Phenotype Patterns Using High-Throughput Omics Profiles
DownloadSpring 2014
A decade after the completion of the human genome project, the rapid advancement of the high-throughput measurement technologies has made omics (genomics, epigenomics, transcriptomics, metabolomics) profiling feasible. The availability of such omics profiles has raised the hope for the...
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Automated semantic segmentation of NiCrBSi-WC optical microscopy images using convolutional neural networks
Download2022-01-01
Rose, D., Forth, J., Henein, H., Wolfe, T., Qureshi, A.
Convolutional neural networks (CNNs) were used for the semantic segmentation of angular monocrystalline WC from NiCrBSi-WC optical microscopy images. This deep learning approach was able to emulate the laborious task of manual segmentation effectively, with a mean intersection over union (IOU)...