Browsing 2020 MU theses - Freely available online by Thesis Department "Computer science (MU)"
Now showing items 1-6 of 6
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Adversarial robustness of deep learning enabled industry 4.0 prognostics
(University of Missouri--Columbia, 2020)The advent of Industry 4.0 in automation and data exchange leads us toward a constant evolution in smart manufacturing environments, including extensive utilization of Internet-of-Things (IoT) and Deep Learning (DL). ... -
Consortium blockchain management with a peer reputation system for critical information sharing
(University of Missouri--Columbia, 2020)Blockchain technology based applications are emerging to establish distributed trust amongst organizations who want to share critical information for mutual benefit amongst their peers. There is a growing need for consortium ... -
Data mining student activity patterns in an interactive activity-based STEM learning environment
(University of Missouri--Columbia, 2020)Jupyter Notebook is gaining in popularity for STEM instruction and activity-based learning. This platform for sharing interactive documents via a web interface allows instructors to combine a variety of media together with ... -
Dynamic spatio-temporal graph neural networks for hot topic prediction in scientific literature
(University of Missouri--Columbia, 2020)With information explosion occurring in past decades, the rapid growth of papers published results in the rapid change of hot topics, especially in the biomedical domain. It turns out very hard for researchers who are ... -
A flexible speech feature converter based on an enhanced architecture of U-net
(University of Missouri--Columbia, 2020)In order to analyze speech or audio, many methods are applied to transform the time domain signals into various features such as the mel spectral features and WORLD vocoder features. These two types of features can both ... -
Volumetric medical image segmentation with deep learning pipelines
(University of Missouri--Columbia, 2020)Automated semantic segmentation in the domain of medical imaging can enable a faster, more reliable, and more affordable clinical workflow. Fully convolutional networks (FCNs) have been heavily used in this area due to the ...