RSS 1.0Computer Science electronic theses and dissertations (MU)
The items in this collection are the theses and dissertations written by students of the Department of Computer Science. Some items may be viewed only by members of the University of Missouri System and/or University of Missouri-Columbia. Click on one of the browse buttons above for a complete listing of the works.
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Relative depth estimation from single monocular images with deep convolutional network
(University of Missouri--Columbia, 2017)Depth estimation from single monocular images is a theoretical challenge in computer vision as well as a computational challenge in practice. This thesis addresses the problem of depth estimation from single monocular ... -
Lightweight IoT security middleware for end-to-end cloud-fog communication
(University of Missouri--Columbia, 2017)IoT (Internet of Things) based smart devices such as sensors and wearables have been actively used in edge clouds i.e., ‘fogs’ to provide critical data during scenarios ranging from e.g., disaster response to in-home ... -
In-memory distributed indexing for large-scale media data retrieval
(University of Missouri--Columbia, 2017)Multimedia data includes various media types such as text, image and video. Recent research has shown that media data retrieval serves a critical role in the development of multimedia applications. However, due to the ... -
AMD, analysis of mood dysregulation : a machine learning approach
(University of Missouri--Columbia, 2016)There is a popular saying, "Stress kills." This statement can be true with repeated exposures to psychological mood dysregulation, which can lead to or worsen stress related conditions such as heart disease and cancer. ... -
Template-based methods for protein model quality assessment
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Protein structure prediction is an important open problem in the bioinformatics filed. One of the difficulties of solving this problem is to develop ... -
Hierarchical cloud-fog platform for data import from network-edge applications
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Communication and coordination in a mass casualty disaster scenario is limited and difficult for medical personnel in the absence of necessary cyber ... -
Intelligent user interfaces for internet-of-things based web applications
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] There is a growing need for Intelligent User Interfaces to visually make sense of the enormous data that is being created within web applications that ... -
Multi-cloud performance and security driven federated workflow management
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In recent years, most scientific research in both academia and industry has become increasingly data-driven. According to market estimates, spending ... -
An approach to clustering biological phenotypes
(University of Missouri--Columbia, 2017)Recently emerging approaches to high-throughput phenotyping have become important tools in unraveling the biological basis of agronomically and medically important phenotypes. These experiments produce very large sets of ... -
Resdiue-residue contact driven protein structure prediction using optimization and machine learning
(University of Missouri--Columbia, 2017)Significant improvements in the prediction of protein residue-residue contacts are observed in the recent years. These contacts, predicted using a variety of coevolution-based and machine learning methods, are the key ... -
Spatial pyramid context-aware moving object detection and tracking for full motion video and wide aerial motion imagery
(University of Missouri--Columbia, 2017)A robust and fast automatic moving object detection and tracking system is essential to characterize target object and extract spatial and temporal information for different functionalities including video surveillance ... -
Automatic geospatial content summarization and visibility enhancement by dehazing in aerial imagery
(University of Missouri--Columbia, 2017)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The objective of this work is to develop a methodology to summarize the content of a long sequential geospatial video using a few geospatial coverage ... -
Computational analysis of tongue image for health diagnosis
(University of Missouri--Columbia, 2017)Tongue, the primary taste organ in the mouth, can reflect the whole body's health conditions based on the Traditional Chinese Medical (TCM) theories. Watching the tongue is one of the most common, essential and reliable ... -
Multi-scale target detection based on morphological shared-weight neural network
(University of Missouri--Columbia, 2017)Convolutional Neural Networks (CNN) are a popular neural network structure for image based applications. This thesis discusses an alternative network, the morphological shared-weight neural network (MSNN) for object ... -
Physiological data analysis -- alcohol drinking prediction using statistical and deep learning methods
(University of Missouri--Columbia, 2017)Alcohol craving can cause many problems for people's life. However, there are very few related works doing alcohol prediction based on physiological data, except some from our lab. The goal of this research is to predict ... -
Empirical study of deep neural network architectures for protein secondary structure prediction
(University of Missouri--Columbia, 2017)Protein secondary structure prediction is a sub-problem of protein structure prediction. Instead of fully recovering the whole three dimensional structure from amino acid sequence, protein secondary structure prediction ... -
Using machine learning approach to predict enzyme family classes by fusing AM-PSE-AAC and PSE-PSSM
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Protein function prediction is one of the most challenging problems in the postgenomic era. One approach for function prediction is to classify a protein ... -
Gene expression prediction based on deep learning
(University of Missouri--Columbia, 2016)Gene expression is a critical process in a biological system that is influenced and modulated by many factors including genetic variation. Thus, it is important to understand how genotypes affect the gene expression levels. ... -
Supervised learning methods for hand-held ground penetrating radar
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Landmines and other buried explosives endanger military and civilian lives around the world. The detection of these types of subsurface objects using ... -
Design and implementation of orthopedic trauma surgery rehabilitation and health monitoring system (OTSRS)
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] A very common problem relating to rehabilitation of orthopedic trauma surgery is that patients do not have access, whether for financial reasons or ...