Browsing OU - Dissertations by Subject "machine learning"
Now showing items 1-10 of 10
-
An Experimental, Modeling and Machine Learning Based Investigation of Stick-Slip Vibrations
(2022-08-04)Drilling technologies have improved considerably since the first well drilled by Colonel E.L Drake in 1859. Drilling technologies enable us to safely drill complex well profiles with advanced downhole tools and sensors to ... -
Exploring Drug-Use Progression Through Stability Enhanced Clustering
(2022-05)Background and aims: Drug use initiation sequences have been the subject of much research, and theories such as the Gateway Hypothesis have been created to explain patterns of progression from common to dangerous drugs. ... -
General supervised learning framework for open world classification
(2020-12-18)In machine learning, the most common scenario for classification modeling is when the training set contains all possible classes and the algorithm learns to identify these classes. The problem setting in which the training ... -
Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry
(2019)The capital-intensive oil & gas industry invests billions of dollars in equipment annually and it is important to keep the equipment in top operating condition to help maintain efficient process operations and improve the ... -
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 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 ... -
Modeling Relationships Between Brain/Muscle Activity and Locomotive Behavior
(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 ... -
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 ... -
Visual Privacy Mitigation Strategies in Social Media Networks and Smart Environments
(2023-05-12)The contemporary use of technologies and environments has led to a vast collection and sharing of visual data, such as images and videos. However, the increasing popularity and advancements in social media platforms and ...