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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Improving protein structure prediction by deep learning and computational optimization
(University of Missouri--Columbia, 2019)Protein structure prediction is one of the most important scientific problems in the field of bioinformatics and computational biology. The availability of protein three-dimensional (3D) structure is crucial for studying ... -
Reliable service chain orchestration for scalable data-intensive computing at infrastructure edges
(University of Missouri--Columbia, 2019)In the event of natural or man-made disasters, geospatial video analytics is valuable to provide situational awareness that can be extremely helpful for first responders. However, geospatial video analytics demands massive ... -
Mechanizing the metatheory of rewire
(University of Missouri--Columbia, 2019)The [lambda]-calculus provides a simple, well-established framework for research in functional programming languages that readily lends itself to the use offormal methods--that is, the use of mathematically sound techniques ... -
Dynamic agent safety logic : theory and applications
(University of Missouri--Columbia, 2019)Modal logic is a family of logics for reasoning about relational structures, broadly construed. It sits at the nexus of philosophy, mathematics, software engineering, and economics. By modeling a target domain as a relational ... -
Semi-automatic exploratory data analytics for actionable discoveries through subgroup mining
(University of Missouri--Columbia, 2017)People are born with the curiosity to see differences between groups. These differences are useful for understanding the root causes of certain discrepancies, such as populations and diseases. However, without prior knowledge ... -
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. Although science gateways (SG) have democratized relevant high ... -
Computational methods for protein structure prediction and next-generation sequencing data analysis
(2016)With the wide application of next-generation sequencing technologies, the number of protein sequences is increasing exponentially. However, only a tiny portion of proteins have experimentally verified structures. The huge ... -
Cost-performance trade-offs in fog computing for IoT data processing of social virtual reality
(University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Virtual Reality (VR)-based Learning Environments (VRLEs) are gaining popularity due to the wide availability of cloud and its edge (a.k.a. fog) ... -
Intelligence-driven edge computing for visual cloud computing systems
(University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The explosive growth and diversity of mobile devices such as smart phones and Internet of Thing (IoT) devices has prompted the evolution of network and ... -
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. ... -
Development of web services in academic environment
(University of Missouri--Columbia, 2019)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The rapid growth in the use of the World Wide Web (WWW) has been noted by many researchers and practitioners. Web services have become a powerful and ... -
PRO3DCNN : convolutional neural network for mapping protein structure into folds
(University of Missouri--Columbia, 2019)Motivation: SCOPe 2.07 is a dataset of 276,231 protein domains that have been partitioned into varying folds according to their shape and function. Since a protein's fold reveals valuable information about it's shape and ... -
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 ... -
Local and deep texture features for classification of natural and biomedical images
(University of Missouri--Columbia, 2019)Developing efficient feature descriptors is very important in many computer vision applications including biomedical image analysis. In the past two decades and before the popularity of deep learning approaches in image ... -
Data mining and machine learning methods for chromosome conformation data analysis
(University of Missouri--Columbia, 2019)Sixteen years after the sequencing of the human genome, the Human Genome Project (HGP), and 17 years after the introduction of Chromosome Conformation Capture (3C) technologies, three-dimensional (3-D) inference and big ... -
Privacy preservation in mobile social networks
(University of Missouri--Columbia, 2019)In this day and age with the prevalence of smartphones, networking has evolved in an intricate and complex way. With the help of a technology-driven society, the term "social networking" was created and came to mean using ... -
3D city scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2018)3D reconstruction is one of the most challenging but also most necessary part of computer vision. It is generally applied everywhere, from remote sensing to medical imaging and multimedia. Wide Area Motion Imagery is a ... -
Permutation compression with applications to genomic data
(University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] High Sequencing Technology generates data at an increasing rate. The technology is used widely in molecular biology. Technologies similar to this are ... -
Dynamically-scalable distributed cluster and cloud computing framework for IoT media data
(University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The Internet of Things (IoT) continues to expand; as daily new smart-devices are connected to Internet and adding to a deluge of data created by our ... -
KOLAM : human computer interfaces fro visual analytics in big data imagery
(University of Missouri--Columbia, 2018)In the present day, we are faced with a deluge of disparate and dynamic information from multiple heterogeneous sources. Among these are the big data imagery datasets that are rapidly being generated via mature acquisition ...