Browsing The University of Oklahoma by Subject "machine learning"
Now showing items 21-28 of 28
-
Relevance and Privacy Improvements to the YaCy Decentralized Web Search Engine
(2018)The YaCy decentralized web search engine carries significant potential advantages in censorship resistance over centralized search engines such as Google. However, YaCy currently suffers from deficiencies in relevance of ... -
Seismic-based characterization of a carbonate gas storage reservoir assisted by machine learning techniques
(2021)Silurian pinnacle reefs found within the Michigan Basin were prolific hydrocarbon producers in the mid-to-late twentieth century. During production, studies over these complex reservoirs were primarily focused on facies ... -
Spatiotemporal gap-filling of NASA Deep Blue aerosol optical depth over CONUS using the UNet 3+ architecture
(2024-05-10)Due to sensor and algorithmic constraints, satellite aerosol optical depth (AOD) retrievals are spatially incomplete over clouds, deserts, and other bright surfaces. These gaps in satellite AOD datasets represent a significant ... -
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 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 ... -
Varying dataset resolution alters predictive accuracy of spatially explicit ensemble models for avian species distribution
(2018-12-06)Species distribution models can be made more accurate by use of new “Spatiotemporal Exploratory Models” (STEMs), a type of spatially explicit ensemble model (SEEM) developed at the continental scale that averages regional ... -
Visibility Estimation from Camera Images Using Deep Learning
(2023-08-04)Atmospheric visibility is an important and complex meteorological variable that directly affects safe and reliable transportation. Specifically, declining visibility can pose an increased risk to automotive, aviation, and ... -
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 ...