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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 ...
Defining the undefinedness of C11 : practical semantics-based program analysis
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This thesis extends the work of Ellison and Ros,u [13, 12] but focuses on the "negative" semantics of the C11 language--the semantics required to not ...
Analysis of host-pathogen interactions via clustering, statistical analysis, and data visualization
(University of Missouri--Columbia, 2015)
Infectious diseases are caused by a variety of agents: viruses, bacteria, parasites, or even proteins. Using existing state-of-the-art methods and tools I developed myself, I studied aspects of infectious agents. To find ...
Multi-modality fusion : registering photographs, videos, and LIDAR range scans
(University of Missouri--Columbia, 2016)
2D images and 3D LIDAR range scans provide very different but complementing information about a single subject and, when registered, can be used for a variety of exciting applications. Video sets can be fused with a 3D ...
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 ...
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. ...
Multiple Instance Choquet Integral for multiresolution sensor fusion
(University of Missouri--Columbia, 2017)
Imagine you are traveling to Columbia, MO for the first time. On your flight to Columbia, the woman sitting next to you recommended a bakery by a large park with a big yellow umbrella outside. After you land, you need ...
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 ...
Elastic map: interactive image segmentation using a few seed-points
(University of Missouri--Columbia, 2016)
Over the past two decades interactive methods for clinical and biomedical image segmentation have been investigated since the pioneering work of Live-Wire, Live-Lane [17] and Intelligent Scissors [1]. Fully automatic image ...
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 ...
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 fall detection system for eldercare
(University of Missouri--Columbia, 2014)
Fall among elders is a main reason to cause accidental death among the population over the age 65 in United States. The fall detection methods have been brought into scene by implemented on different fall monitoring devices. ...
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 REQUEST OF AUTHOR.] A very common problem relating to rehabilitation of orthopedic trauma surgery is that patients do not have access, whether for financial reasons or ...
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 ...
Genome data analysis, protein function and structure prediction by machine learning techniques
(University of Missouri--Columbia, 2016)
The raw information of a typical human genome has been generated at 2001 by Human Genome Project. However, since there are a huge amount of data, it is still a big challenge for people to understand them, and extract useful ...
Probabilistic graphical models for protein structure prediction
(University of Missouri--Columbia, 2016)
Computationally predicting the folded and functional three-dimensional structure of a protein molecule from its amino acid sequence with high degree of accuracy is critically important in structural bioinformatics and has ...
Leveraging High Performance Computing techniques to accelerate big heterogeneous data pattern analysis and image processing
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In this research we discuss High Performance Computing (HPC) techniques which enable efficient and effective processing of Big Data. HPC seeks to ...
Portunes Algebra for security formalization in a federated workflow management
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The allocation and dynamic adaptation of federated cyberinfrastructure resources across multiple domains for data-intensive application workflows is ...
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 ...
Custom templates based heterogeneous resource allocation for data-intensive applications
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] The increase of data-intensive applications in science and engineering fields (i.e., bioinformatics, cybermanufacturing) demand the use of ...