Browsing OU - Dissertations by Title
Now showing items 5216-5235 of 9314
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The M component of the Rorschach as an indicator of the intellect /
(The University of Oklahoma., 1966) -
M13 BACTERIOPHAGE-BASED POLYMERS, A PROMISING NEXT GENERATION OF BIOHYDROGEL
(2018-12-14)Hydrogel has been considered a promising material for many biomedical applicational researches due to its unique properties. One such promising hydrogel is a peptide-based hydrogel due to its excellent biocompatibility and ... -
MAASS SPACE FOR LIFTING TO GL(2,B) OVER A DIVISION QUATERNION ALGEBRA
(2019-08-01)Muto, Narita and Pitale construct counterexamples to the Generalized Ramanujan Conjecture for GL(2,B) over the division quaternion algebra B with discriminant two via a lift from SL(2). In this dissertation, I characterize ... -
Machiavellian and authoritarian power orientations :
(The University of Oklahoma., 1968) -
Machine assisted quantitative seismic interpretation
(2017-05)During the past decades, the size of 3D seismic data volumes and the number of seismic attributes have increased to the extent that it is difficult, if not impossible, for interpreters to examine every seismic line and ... -
Machine Learning Algorithms and Applications in Investment Analysis
(2016-12-16)We can simplify investment analysis as filtering out speculative stocks, bonds, derivatives and other financial products. This area is very challenging yet extremely critical since individual investors’, large institutions’ ... -
Machine learning applications for geoscience problems
(2019-12)Geoscientists have used machine learning for at least three decades and the applications spam many fields, from seismic processing and interpretation, to remote sensing classification, to analysis of well log data, among ... -
Machine learning applications for seismic processing and interpretation
(2020-07-30)During the past few years, exploration seismology has increasingly made use of machine learning algorithms in several areas including seismic data processing, attribute analysis, and computer aided interpretation. Since ... -
Machine learning assisted molecular simulations / mass spectrometry data analysis and rational design of antibacterial Co3O4 nanowires flagella
(2023-05-12)In chapter one, inspired by the recent work from Noé and coworkers on the development of machine learning based implicit solvent model for the simulation of solvated peptides [Chen et al., J. Chem. Phys. 155, 084101 (2021)], ... -
Machine Learning Co-Production in Operational Meteorology
(2022-08)Machine learning, deep learning, and other artificial intelligence (AI) methods are becoming popular tools within the meteorological research community. However, despite the breadth of promising AI research and its ... -
Machine learning enabled query re-optimization algorithms for cloud database systems
(2021-12)In cloud database systems, hardware configurations, data usage, and workload allocations are continuously changing. These changes make it difficult for the query optimizer to obtain an optimal query execution plan (QEP) ... -
Machine learning for classifying biological radar echoes with S-band polarimetric radar
(2023-12-15)The S-band WSR-88D weather radar is sensitive enough to observe biological scatterers like birds and insects. However, their non-spherical shapes and frequent collocation in the radar resolution volume create challenges ... -
Machine Learning for Impact-Based Flash Flood Warnings: Hazard Report Operationalization for Impact Predictions
(2023-12-15)Floods account for approximately one third of all global geophysical hazards, and flash floods allow for extremely short lead times for warnings to be emitted. Flash flood warnings are weather-related alerts which serve ... -
Machine learning for the subsurface characterization at core, well, and reservoir scales
(2020-05-08)The development of machine learning techniques and the digitization of the subsurface geophysical/petrophysical measurements provides a new opportunity for the industries focusing on exploration and extraction of subsurface ... -
Machine Learning Predictions of Flash Floods
(2016-08-12)This dissertation contains a literature review and three studies concerned with the development, assessment, and use of machine learning (ML) algorithms to explore automatically generated predictions of flash floods. The ... -
A macroanalytic view of the choral music of Vincent Persichetti.
(1981)This study was undertaken to provide a macroanalytic view of the choral music of Vincent Persichetti through analysis of six representative choral works. A subpurpose was to furnish choral conductors and other interested ... -
MACRONUTRIENTS SHAPE MICROBIAL COMMUNITIES, GENE EXPRESSION AND PROTEIN EVOLUTION
(2017-05-10)Nutrient limitation of the principle macronutrients carbon, nitrogen and phosphorus are known to influence community structure, success of individual species, and over long enough time could, in theory, shape the evolution ... -
Magic Lantern Tales: A Music/Text Analysis of the Vocal Works of Cheryl-Frances-Hoad
(2023-05-12)This document explores Cheryl Frances-Hoad’s song cycle Magic Lantern Tales, as a highlight of her oeuvre as well as of contemporary art song. Each song in the cycle, and a select few of Frances-Hoad’s other vocal works, ...