Browsing The University of Oklahoma by Title
Now showing items 25464-25483 of 46547
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The M component of the Rorschach as an indicator of the intellect /
(The University of Oklahoma., 1966) -
M Is Not Just for STEM: How Myths about the Purposes of Mathematics Education Have Narrowed Mathematics Curricula in the United States
(2018-04-10)When public schooling was first introduced in the United States, early proponents emphasized the need for mathematics as critical for an informed citizenry in a democracy. Half a century later, this purpose of mathematics ... -
M. A. Hance
(1876-03-24) -
M. Desmaris & Co.
(1888-07-14) -
M. H. Clements
(1884-02-07) -
M. H. Clements.
(1882-07-14) -
M. M. Marmaduke and others
(1858-04-17) -
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 AND THE CONSTRUCTION OF A SEISMIC ATTRIBUTE-SEISMIC FACIES ANALYSIS DATA BASE
(2018-08-02)Currently, seismic facies and structural analysis requires a significant amount of time and effort by skilled interpreters. With the advances made by companies such as Amazon and Google with AI (artificial intelligence) ... -
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 Approach to Model Interdependent Network Performance
(2019-12-13)Resilience can be understood as the property of an object or system to recover from its state of disruption back to its complete functional stage as it was prior to the disruption event. There are different ways of measuring ... -
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 ...