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Region based object detectors for recognizing birds in aerial images
(University of Missouri--Columbia, 2019)
This project explores different types of deep neural networks (DNNs) for recognizing birds in aerial images based on real data provided by the Missouri Department of Conservation. The pipeline to identify birds from an image consist of two phases...
Modeling the urban underground pallet tube system design
(University of Missouri--Columbia, 2017)
Cities are witnessing a rapid growth in population and vehicles, causing greater traffic congestion on roads. Therefore, a need for a better transportation system to avoid this swelling congestion. In this research, we examine an emerging technology...
Design of a single sided linear induction motor (SLIM) using a user interactive computer program
(University of Missouri--Columbia, 2005)
This project studies the design of SLIM, which can be used to power capsules in a pneumatic capsule pipeline (PCP) system. The design equations of the SLIM and the equivalent circuit model are studied and discussed in detail. A SLIM of specified...
Semantic segmentation of land use and land cover for mapping agricultural activities
(University of Missouri--Columbia, 2023)
and tasks. This project focused on the three research objectives. First, the author developed the preliminary semantic segmentation pipeline based on the fully convolutional neural network. The second objective is to test with the remote sensing images...
Neural modeling case studies at biophysical, machine learning, and automation levels
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 12/1/2024] This dissertation reports three case studies using machine learning, biophysical, and automation frameworks to study neural engineering challenges. The first study utilized machine learning with a clinical dataset...
Protein-ion binding site prediction using deep learning
(University of Missouri--Columbia, 2023)
-line execution. Impressively, they both outperform existing state-of-the-art tools by delivering prediction outcomes in min- utes. Moreover, they achieved over 20 percent improvement in F1 score and MCC across all the ions....
Horticultural crop response to synthetic auxins
(University of Missouri--Columbia, 2019)
and 2018 at three locations in Missouri, research in production vineyards focused on the single-season effects of dicamba on hybrid grapes (Vidal blanc). During flowering and early fruit set, established grapes were exposed to low rates of dicamba...
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 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...
Interactive, multi-purpose traffic prediction platform using connected vehicles dataset
(University of Missouri--Columbia, 2022)
data excelled at detecting minor incidents with a 90 percent detection rate versus 20 percent for probes and detecting them 3 minutes faster. To process the big CV data faster, a new algorithm is proposed to extract the spatial and temporal features...
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...
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...
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 ...
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...
Examination of metabolic and regulatory networks of desulfovibrio species
(University of Missouri--Columbia, 2004)
and the synthesis of [alpha],[alpha]-trehalose were observed in Desulfovibrio desulfuricans G20 but not Desulfovibrio vulgaris Hildenborough.Physiological experiments showed that despite the presence of a complete set of galactose metabolism genes, Dv. desulfuricans...
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, ...
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...
The Bavarian model? : modernization, environment, and landscape planning in the Bavarian nuclear power industry, 1950-1980
(University of Missouri--Columbia, 2009)
Perhaps no state in the Federal Republic of Germany witnessed a more pronounced state sponsored modernization effort than Bavaria, 1950-1980. This vast transformation, particularly in the field of nuclear energy, required ...
Formulation development of a novel antivirulence compound for enhanced pharmocokinetic properties
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] A novel antivirulence compound CCG-211790 (termed as C790 in this context), has demonstrated significant inhibition against several severe ...
Developmental programming by xenoestrogens
(University of Missouri--Columbia, 2011)
were seen within the range of current human exposure. Overall my research demonstrates that developmental programming by XE is linked to increased disease susceptibility in adulthood; exposure to low-environmentally relevant levels of XE may increase...