Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"machine learn-ing"”.
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Training Physics-Guided Neural Networks with Multiple Constraints: An Application in Lake Ecology Modeling
… components of Earth's ecosystems but are increasingly threatened by climate change and human activity, underscoring the need for reliable tools for modeling and predicting lake ecology. While machine learning has shown potential in modeling such systems, sparse environmental data often limits the …
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Machine Learning for Predicting Prosthetic Limb Movements
<p>This thesis develops and evaluates a deep learning-based prediction model capable of identifying intended limb movement from surfaced electromyography (sEMG) signals using sequence learning techniques. sEMG signals change over time due to multiple factors such as muscle fatigue or user …
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LEARNING AND OVERLAPS IN QUEUES
… has spread worldwide. As it is cur- rently spreading in the United States, policy makers, public health officials and citizens are racing to understand the impact of this virus on the United States healthcare system. They fear a rapid influx of patients overwhelming the health- care system and …
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A Semi-Supervised Information Extraction Framework for Large Redundant Corpora
… The most successful attempts rely on vast training sets of data. Others have succeeded in extracting restricted subsets of the available information. These approaches have limited use and require domain knowledge to be coded into the application. The current thesis proposes a novel framework for …
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Risk-based Renewal Prioritization Models (RPM) for Potable Water Pipeline Infrastructure Systems
… across the United States, responsible for delivering safe drinking water at adequate pressures from source to customers. A majority of these pipelines were installed in the mid-twentieth century without adequate financial planning for future renewal, creating a growing renewal backlog under tight …