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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Recent Submissions
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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 ... -
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 ... -
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 ... -
Deepnet : an extensible data acquisition and curation framework supporting computer vision deep learning research
(University of Missouri--Columbia, 2018)We present a system, DeepNet, for ingestion, curation, and management of geospatial data images to facilitate a range of geospatial research. The system allows for the semi-autonomous ingestion of geospatial data from a ... -
3D genome structure reconstruction from chromosomal contact data
(University of Missouri--Columbia, 2017)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Different cell types of an organism have the same DNA sequence, but they can function differently because their difference in 3D organization allows ... -
Energy-aware mobile edge computing for low-latency visual data processing
(University of Missouri--Columbia, 2017)New paradigms such as Mobile Edge Computing (MEC) are becoming feasible for use in e.g., real-time decision-making during disaster incident response to handle the data deluge occurring in the network edge. However, MEC ... -
Acoustic feature-based sentiment analysis of call center data
(University of Missouri--Columbia, 2017)With the advancement of machine learning methods, audio sentiment analysis has become an active research area in recent years. For example, business organizations are interested in persuasion tactics from vocal cues and ... -
Dolus : cyber defense using pretense against DDoS attacks in cloud platforms
(University of Missouri--Columbia, 2017)Cloud-hosted services are being increasingly used in online businesses in e.g., retail, healthcare, manufacturing, entertainment due to benefits such as scalability and reliability. These benefits are fueled by innovations ... -
Development of KBCommons : universal informatics framework for multi-omics translational research
(University of Missouri--Columbia, 2017)Multi-level 'OMICS' data integration for multiple organisms has been one of the major challenges in the era of advanced next generation sequencing and high performance technologies. Biological data has been producing ... -
Machine learning methods for 3D object classification and segmentation
(University of Missouri--Columbia, 2018)Object understanding is a fundamental problem in computer vision and it has been extensively researched in recent years thanks to the availability of powerful GPUs and labelled data, especially in the context of images. ... -
Applications of deep neural networks to protein structure prediction
(University of Missouri--Columbia, 2018)Protein secondary structure, backbone torsion angle and other secondary structure features can provide useful information for protein 3D structure prediction and protein functions. Deep learning offers a new opportunity ... -
Three dimensional reconstruction of plant roots via low energy x-ray computed tomography
(University of Missouri--Columbia, 2018)Plant roots are vital organs for water and nutrient uptake. The structure and spatial distribution of plant roots in the soil affects a plant's physiological functions such as soil-based resource acquisition, yield and its ... -
Extending and applying properties of the uc generalized matrix inverse
(University of Missouri--Columbia, 2018)The recent development of a generalized matrix inverse which preserves the units of state variables is very important for many areas of science and technology. In this thesis we derive new mathematical results for this ... -
Virtual web for PageRank computing
(University of Missouri--Columbia, 2018)The enormous size and fast-evolving nature of World-Wide-Web has been demanding an even more efficient PageRank updating algorithm. Web evolution may involve two kinds: (1) link structure modification; (2) page insertion/deletion. ...