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Deep heterogeneous superpixel neural networks for image analysis and feature extraction
(University of Missouri--Columbia, 2021)
computer vision research where their efficient representation has superior effects. In contemporary computer vision research driven by deep neural networks, superpixel-based approaches mainly rely on oversegmentation to provide a more efficient...
Accelerating data-driven discover in type 1 diabetes: an informatics-based approach
(University of Missouri--Columbia, 2022)
heterogeneity in T1D, and (3) development of a highly scalable pipeline to facilitate diabetes health outcomes research using multi-site EHR data. We also substantiate our commitment to openly disseminating our findings and tools to the research community...
Accelerating materials processing via machine learning : towards autonomous manufacturing
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] "Given the advantages of ML, this research thesis focuses on developing appropriate methodologies to solve the problems that inherit in the three phases...
Reliable and structural deep neural networks
(University of Missouri--Columbia, 2022)
Deep neural networks have dominated a wide range of computer vision research recently. However, recent studies have shown that deep neural networks are sensitive to adversarial perturbations. The limitations of deep networks cause reliability...
Interactive, multi-purpose traffic prediction platform using connected vehicles dataset
(University of Missouri--Columbia, 2022)
Traffic congestion is a perennial issue because of the increasing traffic demand yet limited budget for maintaining current transportation infrastructure; let alone expanding them. Many congestion management techniques ...
Deep learning for small object detection in images
(University of Missouri--Columbia, 2020)
, identified major challenges, and listed some future research directions. Existing techniques were categorized into using contextual information, combining multiple feature maps, creating sufficient positive examples, and balancing foreground and background...
Uncovering the genetic basis of seed amino acid composition in arabidopsis using a multi-omics integrative approach
(University of Missouri--Columbia, 2021)
, and how the content of Chapter Two through Chapter Four builds upon and adds value to the area of seed amino acid research as a whole. Chapter Two focuses on uncovering the genes and biological processes that underly the regulation of free Glutamine which...
Defeat data poisoning attacks on facial recognition applications
(University of Missouri--Columbia, 2021)
In the modern era, facial photos are used for a wide array of applications, from logging into a smartphone to bragging about a weekend getaway. With the vast amount of use cases for facial images, adversaries will attack ...
The progression of white matter abnormalities in individuals with early-treated phenylketonuria (PKU)
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Phenylketonuria (PKU) is a rare autosomal recessive disorder characterized by a disruption in the ability to metabolize phenylalanine (phe) into tyrosine, ...