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Automated Detection of Bird Roosts Using NEXRAD Radar Data and Convolutional Neural Networks
(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 ...
Do We Really Need Deep Learning?: A Study on Play Identification using SEM Images
(2021-05-14)
Deep learning has become an integral part of image classification and segmentation, especially with the use of convolutional neural networks (CNN) and their variants. Although computationally expensive and time-consuming, ...
A supervised machine learning approach to discriminate reservoir fluid presence and saturation in the Gulf of Mexico using frequency and spectral shape attributes
(2023-05-13)
The first chapter in this research aims to define reliable attributes to differentiate subsurface
fluids and measure their attenuation to provide insights into reservoir properties. The study
investigates the effects ...
Promoting Speciation Through Variable Dominance in Genetic Algorithms
(2020-05)
Genetic algorithms are a class of search algorithms that have been around since the 1970s. Despite their age, genetic algorithms still see a great deal of use in various applications and so many efforts have gone into ...
Comparison of Machine Learning and Statistical Approaches for Predicting Travel Times in the Oklahoma Highway System
(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
(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 ...
Gridded Hail Nowcasting using UNets, Lightning Observations, and the Warn-on-Forecast System
(2023-08-04)
Hailstorms cause around 1 billion dollars in damage across the United States each year. At least a portion of this cost is associated with the inability to protect personal assets from damage in the short window of time ...
Investigating technologies and techniques for flood monitoring and detecting
(2022-08-04)
The need for a flood alerting and forecasting system is becoming ever more critical, especially given the effects of increasing severe weather over the last ten years. Flash floods, particularly, are deadly because of the ...
Real-Time Gesture Recognition with Mini Drones
(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 ...
MISSISSIPPIAN MERAMEC LITHOLOGIES AND PETROPHYSICAL PROPERTY VARIABILITY, STACK TREND, ANADARKO BASIN, OKLAHOMA
(2019-05)
Mississippian Meramec reservoirs of the STACK (Sooner Trend in the Anadarko [Basin] in Canadian and Kingfisher counties) play are comprised of silty limestones, calcareous siltstones, argillaceous-calcareous siltstones, ...