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A Study of Ensemble Machine Learning Model Architectures for Parkinson’s Disease Detection and Freezing of Gait Forecasting
DownloadFall 2021
Parkinson's Disease (PD) is a major progressive neurological disorder and is extremely difficult to diagnose PD~\cite{pmid23039866} since there are no defined medical tests for this task. The existing approach involves a combination physical examinations, neuroimaging and demographic analysis...
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Fall 2022
The objective of signal decomposition is to extract and separate distinct signal components from a composite signal. Signal decomposition has been studied in many applications, such as image, video, audio, and speech signals. This thesis focuses on the category of signal decomposition on...
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Scalable Solutions to Image Abnormality Detection and Restoration using Limited Contextual Information
DownloadFall 2020
Detecting and interpreting image abnormalities and restoring images are essential to many processing pipelines in diverse fields. Challenges involved include randomness and unstructured nature of image artefacts (from signal processing perspective) and performance constraints imposed by...