Browsing The University of Oklahoma by Title
Now showing items 35422-35441 of 46719
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USING DATA ANALYTICS ON DIMENSIONLESS NUMBERS TO PREDICT THE ULTIMATE RECOVERY FACTORS FOR DIFFERENT DRIVE MECHANISMS OF GULF OF MEXICO OIL FIELDS
(2017-05-12)The ultimate recovery factor is strongly affected by petrophysical parameters, engineering data, structures, and drive mechanisms. The knowledge of the recovery factor is needed for multiple decision makings and it should ... -
Using Deep Learning to Improve Prediction and Understanding of High-impact Weather
(2020-05)This dissertation describes the application of convolutional neural networks (CNN), a type of deep-learning method, to high-impact weather. CNNs are specially designed to learn directly from spatial grids, which improves ... -
Using Feature Films To Grade O.B
(Journal of Management Education, 1975-04-01) -
Using ground-based fixed and mobile weather radars and numerical modeling to evaluate hurricane structure and dynamics at landfall
(2021-05-14)Hurricane observations during landfall in the United States have received relatively little attention in the research community compared to hurricanes observed over the open ocean. Aircraft-based observations using in situ ... -
Using growth mindset strategies in gateway composition courses
(2020-05-08)University enrollment rates have continued to decline and increasing retention efforts on campuses has become a central focus for university administration and faculty members. Growth mindset, a theory developed by Dr. ... -
Using hermeneutic phenomenology to investigate pre-service secondary mathematics teachers' beliefs about mathematics and the teaching and learning of mathematics
(2013-11-25)This research used an interpretive paradigm and a hermeneutic phenomenology methodology to investigate matehmatical belief systems of pre-service secondary mathematics teachers enrolled in a small private mid-western ... -
Using Inexpensive Software-Defined Radios as GPS Receivers in a Ground-Based Augmentation System
(2022-12-16)Ground Based Augmentation Systems (GBAS) are used to augment Global Positioning Systems (GPS) signals to make the position solutions significantly more accurate and precise. The systems have been studied and demonstrated ... -
USING INVEST TO EVALUATE THE PERFORMANCE OF URBAN GROWTH MANAGEMENT STRATEGIES IN CONSERVING ECOSYSTEM SERVICES IN THE CITY OF CORVALLIS, OREGON
(2016-08-19)The world is undergoing a sustained wave of urbanization and through changing landuse and land cover, urbanization has been posing threats to “eco-environments” at various scales (Wang et al 2002). Urban growth management ... -
Using Iyengar Yoga to Enhance Violin Playing
(2017-12)Yehudi Menuhin was the first famous musician to use yoga as a way to address pain and the physical issues related to his career as a concert violinist. Iyengar Yoga is the original form of alignment based yoga and was ... -
Using Machine Learning Applications and HREFv2 to Enhance Hail Prediction for Operations
(2019-08)In this thesis, I demonstrate how hail prediction can be improved through post-processing numerical weather prediction (NWP) data from the new High-Resolution Ensemble Forecast system version 2 (HREFv2) with machine learning ... -
Using Machine Learning to Improve the NSSL's Warn-On-Forecast System's Prediction of Thunderstorm Location
(2023-08-04)Deep learning (DL) models have become immensely popular in recent years, with many models creating accurate and high-skill predictions for a wide range of atmospheric phenomena. Using DL models for predicting convection ... -
Using Machine Learning to Predict Damaging Straight-line Convective Winds
(2016-08-12)Thunderstorms, including straight-line (non-tornadic) winds, cause an average of over 100 deaths and $10 billion of insured damage per year in the United States. In the past decade machine learning has led to significant ... -
Using metabolic and thermal ecology to predict temperature dependent ecosystem activity: a test with prairie ants
(2018)As ecosystems warm, ectotherm consumer activity should also change. Here we use principles from metabolic and thermal ecology to explore how seasonal and diel temperature change shapes a prairie ant community’s foraging ... -
Using MIDI technology to enhance tuning skills for choral conductors .
(2006)Chapter Two provides a background on the development of pitch and temperament along with mathematical calculations for different scales. These calculations provide the framework for the tuning software included with the document. -
USING MOLECULAR DYNAMICS SIMULATION TO STUDY BEHAVIOR OF HYDROCARBON FLUID
(2019-08)The purpose of this thesis is to study hydrocarbon fluid behavior with molecular dynamics (MD) simulations. In the past two decades, MD simulation has been proved to be a reliable tool in the study of oil and natural gas ... -
“USING MOTION PICTURE STORYTELLING AS AN INDIGENOUS METHOD TO EXPLORE FOOD SOVEREIGNTY IN AN AMERICAN INDIAN/ALASKA NATIVE TRIBE”
(2019)For many American Indian/Alaska Native (AI/AN) communities, food is important, not only for basic health reasons, but cultural, traditional and spiritual as well. The concepts of food sovereignty have various definitions, ... -
Using Newly available Homicide Data to Debunk Two Myths about Violence in an International Context: A Research Note
(Homicide Studies, 2001-08-01)This article employs newly available crime and vital statistics data from Russia to debunk two myths about violence in an international context. The first myth is that the United States is the most violent industrialized ... -
Using News Abstracts to Represent News Agendas
(Journalism & Mass Communication Quarterly, 2005-06-01) -
Using Novel Data Analysis Methods to Extract Information from Mass Spectrometry Imaging and Single Cell Mass Spectrometry Results
(2023-12-15)Mass spectrometry (MS) is a powerful tool for qualitative and quantitative biological sample analysis, with its high sensitivity, broad applicability, and strong robustness. While insights into ‘what’ and ‘how’ can be ... -
Using Novelty Seeking Reward Evolution Strategies to Train Generative Adversarial Networks
(2018-12-14)Generative Adversarial Networks (GANs) are a subclass of deep generative models that aim to implicitly learn to model a data distribution. While GANs have gained wide research attention, and achieved much success, when ...