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Machine Learning for Robust Tracking of Interface Level Inside a Primary Separation Vessel in the Presence of Occlusions and Noise
DownloadSpring 2021
A Primary Separation Vessel (PSV), used in the oil sands industry, is an important process equipment, where Bitumen is separated from the oil sand using a density based separation process. The interface level between a bitumen rich layer (froth) and a layer that has moderate amounts of bitumen in...
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Magnetic Resonance Imaging of the Brain in Prenatal Alcohol Exposure and Advances in Measuring Cortical Microstructure
DownloadFall 2020
Fetal alcohol spectrum disorder (FASD) encompasses a large spectrum of physical, cognitive and behavioral deficits resulting from prenatal alcohol exposure. Studies using magnetic resonance imaging (MRI) have shown structural and functional brain alterations in children and adolescents with...
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Microstructural Analysis of Ni-WC Metal Matrix Composites Deposited Using Plasma Transferred Arc Additive Manufacturing
DownloadFall 2023
The objective of this thesis is to examine how the composition and solidification rate influences the thermal degradation of WC and the resulting microstructure of WC-Ni metal matrix composites (MMCs) deposited using plasma transferred arc additive manufacturing (PTA-AM). Scanning electron...
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Molecular and Machine Learning Based Characterization of Human Skeletal Muscle to Decipher Complex Biological Processes Governing Muscle Wasting in Surgical Patients with Cancer
DownloadSpring 2023
Cancer cachexia is a multifactorial syndrome characterized by progressive loss of weight (WL), muscle, and fat tissues. Skeletal muscle wasting, in particular, is strongly associated with morbidity and mortality. Understanding the pathophysiological mechanisms underlying muscle wasting in humans...
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Monitoring of Industrial Processes via Non-stationary Probabilistic Slow Feature Analysis Machine Learning Algorithm
DownloadSpring 2020
This research develops a first of its kind machine learning (ML) algorithm, called probabilistic slow feature analysis (PSFA), that monitors and detects faults for non-stationary industrial processes. The novelty of this ML algorithm is that it can monitor and detect faults for non-stationary...
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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...
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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...
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Near-Field to Far-Field Transformation and Fault Detection Using Adaptive Sampling and Machine Learning in Source Reconstruction Method
DownloadFall 2019
Until not so long ago, near-field and far-field measurement techniques were the two prominent approaches to evaluating antennas. A direct far-field measurement can be conducted in outdoor or indoor environments. The measurement of small antennas can be performed in anechoic chambers. For large...