Browsing Computer Science and Electrical Engineering Electronic Theses and Dissertations (UMKC) by Thesis Semester "2020 Fall"
Now showing items 1-7 of 7
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Anisotropic Mesh Adaptation for Image Segmentation based on Partial Differential Equations
(2020)As the resolution of digital images increases significantly, the processing of images becomes more challenging in terms of accuracy and efficiency. In this dissertation, we consider image segmentation by solving a partial ... -
AudioCNN: Audio Event Classification With Deep Learning Based Multi-Channel Fusion Networks
(2020)In recent years, there is growing interest in environmental sound classification with a plethora of real-world applications, especially in audio fields like speech and music. Recent research works have proven spectral ... -
Automated End-to-End Management of the Deep Learning Lifecycle
(2020)Deep learning has improved the state-of-the-art results in an ever-growing number of domains. This success heavily relies on the development of deep learning models--an experimental, iterative process that produces tens ... -
Crosstalk computing: circuit techniques, implementation and potential applications
(2020)This work presents a radically new computing concept for digital Integrated Circuits (ICs), called Crosstalk Computing. The conventional CMOS scaling trend is facing device scaling limitations and interconnect bottleneck. ... -
Enriching Knowledge Graphs Using Machine Learning Techniques
(2020)A knowledge graph represents millions of facts and reliable information about people, places, and things. These knowledge graphs have proven their reliability and their usage for providing better search results; answering ... -
Learning Efficient Deep Feature Extraction For Mobile Ocular Biometrics
(2020)Ocular biometrics uses physical traits from eye regions such as iris, conjunctival vasculature, and periocular for recognizing the person. Ocular biometrics has gained popularity amongst research and industry alike for its ... -
Ocular motion classification for mobile device presentation attack detection
(2020)As a practical pursuit of quantified uniqueness, biometrics explores the parameters that make us who we are and provides the tools we need to secure the integrity of that identity. In our culture of constant connectivity, ...