Browsing The University of Oklahoma by Author "Fagg, Andrew"
Now showing items 1-20 of 24
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Automated Detection of Bird Roosts Using NEXRAD Radar Data and Convolutional Neural Networks
Chilson, Carmen (2017-12-15)NEXRAD radars have proven to be an effective tool for detecting bird roosts for several species or birds, however manually locating these roosts in radar images is a time consuming process. We introduce a Convolutional ... -
Automated Location of Bird Roosts Using NEXRAD Data and Image Segmentation
Avery, Katherine (2020)Weather surveillance radars can effectively detect flying animals, such as groups of birds, bats, and insects. Further, these radars are demonstrably useful for detecting the existence of certain bird roosting locations, ... -
Comparison of Machine Learning and Statistical Approaches for Predicting Travel Times in the Oklahoma Highway System
Saidi, Said Jalal (2020-12)Traffic management systems play a vital role in supporting the smooth flow of traffic in road networks. By accurately predicting travel time, a traffic condition parameter that is extensively used in such systems, we can ... -
A Constraint Driven Approach to Neural and Muscle Recruitment in Wrist Motor Tasks
Lopez - Santillana, Manuel (2020-07-30)The transformation from visual stimulus to muscle recruitment is a non- linear one: it must take into account the configuration of the body and the lines of action of the muscles. The primary cortex plays a role in the ... -
Correction of Kinematic Data from a Self-Initiated Prone Position Crawler Trainer for Infants with Cerebral Palsy
Wilson, Leonard Jr (2017-12)In recent years small, inexpensive inertial measurement units (IMUs) have been used clinically to monitor human body joint angles in order to assess the progression of, or recovery from, various diseases affecting movement, ... -
Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction
Gagne, David John II (2016-08-12)Meteorologists have access to more model guidance and observations than ever before, but this additional information does not necessarily lead to better forecasts. New tools are needed to reduce the cognitive load on ... -
The creation and analysis of next-day random forest-based high-impact weather forecasts
Loken, Eric (2021-05)Flash floods, tornadoes, damaging winds, and large hail are costly and difficult to predict, even for state-of-the-art, high-resolution numerical weather prediction (NWP) systems. Current operational NWP ensembles have a ... -
EEG/MEG Sparse Source Imaging and Its Application in Epilepsy
Zhu, Min (2013-12-13)This dissertation is a summary of my Ph.D. work on the development of sparse source imaging technologies based on electroencephalography (EEG) and magneto-encephalography (MEG) and their application to noninvasively ... -
Evolving Spiking Neural Networks with NEAT
Hirsch, Mary (2020)Spiking neural networks (SNNs) attempt to computationally model biological neurons. While similar to artificial neural networks (ANNs), SNNs preserve the temporal and binary aspects of neurons. Computational evolution is ... -
Focal Vibration for Upper Limb Rehabilitation After Stroke
Duginski, Grace (2022-05-13)Stroke is the fifth leading cause of death and a leading cause of disability in the state of Oklahoma and the United States. Although there are several approaches to stroke rehabilitation, most stroke survivors live with ... -
In Situ Observations of Southern Ocean Clouds from The SOCRATES Field Campaign: Evaluating Cloud Phase, Aerosol-Cloud Interactions, Cloud Layer Types and Entrainment-Mixing Impacts on Mixed Phase Clouds
D'Alessandro, John (2022-12-16)Low level clouds are ubiquitous over the Southern Ocean. However, climate and weather models fail to accurately simulate their radiative impact. This has been attributed in part to the inadequate representation of cloud ... -
Indoor Localization and Mapping Using Deep Learning Networks
Soni, Ravi (2017)Over the past several decades, robots have been used extensively in environments that pose high risk to human operators and in jobs that are repetitive and monotonous. In recent years, robot autonomy has been exploited to ... -
Integrated 3D Printing of Robotic Structures and Circuits
McDonough, Sean (2016-12)Advances in upper limb prostheses have lowered the cost of prosthetic limbs, enabling access for a larger population of amputees. Other advancements, such as robotic prosthetics, enable amputees to more easily grasp ... -
Learning Relational Concepts with the Spatiotemporal Multidimensional Relational Framework
Bodenhamer, Matthew (2014-05)The real world can be seen as containing sets of objects that have multidimensional properties and relations. Whether an agent is planning the next course of action in a task or making predictions about the future state ... -
Modeling Relationships Between Brain/Muscle Activity and Locomotive Behavior
Shotande, Monique (2022-12)The dynamics of locomotion involve a fine-tuned, continuous feedback loop between processes in the brain, functioning of the muscles, and interactions with the environment. Neurological or motor disability can often disrupt ... -
MOVIT: MONOCULAR VISION-BASED TRACKING
Ghazi, Mustafa (2018)Cerebral Palsy (CP) is a physical disability that affects approximately 17 million individuals globally. CP can severely impact the development of motor, cognitive, and social skills. Recent research efforts in this domain ... -
Observation of the triboson process pp → W±W∓γ and limits on anomalous quartic gauge couplings with the ATLAS detector
Wilbern, Daniel (2023-05-12)This thesis presents a search for evidence of $W^\pm W^\mp \gamma$ production from $p-p$ scattering with $\sqrt{s}$ = 13 TeV at the Large Hadron Collider using 140 fb$^-1$ of integrated luminosity. The case where the $W$ ... -
Observations and Simulations of Moisture Changes Occurring Around Sunset at the ARM Climate Research Facility
Blumberg, William Gregory (2018-05-11)Each summer, the U.S. Southern Great Plains (SGP) hosts a variety of ingredients (e.g. moisture, shear, instability, and lift) critical to understanding the life-cycle of deep, moist convection. Past studies have primarily ... -
Real-Time Gesture Recognition with Mini Drones
Davis, Taner (2018-12-14)Drones are being used worldwide to perform many functions - medical deliveries, video recording, and surveying to name a few. Their growing presence is paralleled by the growing world of Machine Learning (ML). This thesis ... -
Scaling up Labeling, Mining, and Inferencing on Event Extraction
Liang, Yan (2022-05)Numerous important events happen every day and are reported in different media sources with varying narrative styles across different knowledge domains and languages. Detecting the real-world events that have been reported ...