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Proceedings of the first international symposium on underground freight transportation by capsule pipelines & other tube/tunnel systems
(Capsule Pipeline Research Center, 2000)
The purpose of this symposium is to bring the key players and stakeholders of capsule pipelines together from around the world not only to share experiences and research findings, but also to plan the future of capsule pipelines, in order...
Portfolio : Thomas R. Marrero
(2017)
Includes a summary that highlights significant accomplishments and services, photographs, curriculum vitae, a listing of courses taught since 1993, grants received, and awards and honors conferred.
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...
Compacting solid waste materials generated in Missouri to form new products: final technical report
(Capsule Pipeline Research Center, College of Engineering, University of Missouri-Columbia, 2002)
The unique high-pressure compaction technology developed at Capsule Pipeline Research Center (CPRC) of University of Missouri-Columbia was used to study the compaction of combustible components of municipal solid waste and flyash generated from coal...
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...
Mizzou weekly, volume 22, number 30
(University of Missouri--Columbia. University Affairs. Publications and Alumni Communication., 2001)
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...
Mizzou, volume 102, number 4 (2014 Summer)
(MU Alumni Association, University of Missouri, 2014)
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...
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...
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...
Missouri Technology Expo 2010 Event Book
(2010-10)
The Missouri Technology Expo 2010 Event Book contains the program for the event, speaker and sponsor information and abstracts of presentations.
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, ...
Real-time visualization of massive imagery and volumetric datasets
(University of Missouri--Columbia, 2006)
The visualization of extremely large multi-dimensional datasets requires highly scalable geometric algorithms. We consider an algorithm to be scalable if its complexity remains constant independent of the size of the ...