Search
Now showing items 1-20 of 185
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 ...
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 ...
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 ...
Estimation of dynamic detector confidence thresholds in SAS imagery using mixture models
(University of Missouri--Columbia, 2019)
As machine learning has matured over the years, more and more safety critical tasks have been entrusted to computers. Automated target recognition (ATR), the problem of identifying explosive hazards on the sea?oor, is one ...
Systematic assessment of security, privacy and usability of virtual reality learning environment applications
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Social Virtual Reality Environments is a new cloud computing based platform which integrates IoT to build applications in areas such as ...
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. ...
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 ...
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 ...
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 ...
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. ...
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 ...
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 ...
In-memory distributed indexing for large-scale media data retrieval
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Multimedia data includes various media types such as text, image and video. Recent research has shown that media data retrieval serves a critical role ...
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 ...
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 ...
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 REQUEST OF AUTHOR.] 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 ...
An examination of fast similarity search trees with gating
(University of Missouri--Columbia, 2016)
The emergence of complex data objects that must be indexed and queried in databases has created a need for access methods that are both generic and efficient. Traditional search algorithms that only check specified fields ...
An algorithm for the automatic construction of Bayesian networks with limited domain knowledge, as applied to the prediction of economic and development indicators of 248 countries and world regions
(University of Missouri--Columbia, 2016)
Humans have a natural tendency to express knowledge in terms of generalities, instead of individually measurable variables. However, to make for computers to make sense of a domain, information must be expressed in terms ...
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 ...
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 ...