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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 ...
Hydrologic peak flow modelling using machine learning
(2020-12-18)
The effect of rainfall spatial variability on catchment responses during floods remains poorly understood. The overall objective of this work is to develop a robust understanding of how rainfall spatial variability influences ...
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 ...
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 ...
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) ...
Correcting, Improving, and Verifying Automated Guidance in a New Warning Paradigm
(2018-05-11)
The prototype Probabilistic Hazards Information (PHI) system allows forecasters to experimentally issue dynamically evolving severe weather warning and advisory products in a testbed environment, providing hypothetical end ...
A Data-Driven Approach For Monitoring And Predictive Diagnosis Of Sucker Rod Pump System
(2022)
Given its long operational history, a sucker-rod pump (SRP) has been widely utilized as a lifting solution to bring reservoir fluids to the surface with low cost and high efficiency. However, debugging the rod pump issues ...
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 ...
Question-Answering for Segment Retrieval on Podcast Transcripts
(2022-08)
Podcasting has rapidly ascended as one of the primary forms of spoken-word media in
the 21st century. The Spotify Podcast Dataset has compiled transcripts of over 100,000
podcast episodes, making it one of the largest ...
Applied High-Order Singular Value Decomposition for Weight Compression and Expansion in Deep Neural Networks
(2019-08)
Complex deep learning objectives such as object detection and saliency, semantic segmentation, sequence-to-sequence translation, and others have given rise to training processes requiring increasing amounts of time and ...