Browsing by Thesis Department "Computer science (MU)"
Now showing items 1-20 of 207
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Active labeling in deep learning and its application to emotion prediction
(University of Missouri--Columbia, 2013)Recent breakthroughs in deep learning have made possible the learning of deep layered hierarchical representations of sensory input. Stacked restricted Boltzmann machines (RBMs), also called deep belief networks (DBNs), ... -
Activity identification from animal GPS tracks with spatial temporal clustering method DDB-SMoT
(University of Missouri--Columbia, 2016)With various GPS devices or services growing rapidly, large amount of GPS track- ing data has been collected, both for human beings and wild animals. However, the raw GPS data cannot directly provide us with any valuable ... -
Adaptive bilateral extensor for image interpolation
(University of Missouri--Columbia, 2006)A novel algorithm for image interpolation, referred to as adaptive bilateral extensor interpolation, is proposed in this thesis. It combines useful features of an extensor based algorithm, utilizing a non-linear mapping ... -
Adaptive clustering and transmission range adjustment for topology control in wireless sensor networks
(University of Missouri--Columbia, 2006)A wireless sensor network (WSN) is characterized by a limited energy supply and a large number of nodes. Topology control (TC) as one of the main ways to control energy consumption in WSNs has been the focus of a considerable ... -
An adaptive non-polling HCCA mechanism for streaming video QOS in IEEE 802.11E network
(University of Missouri--Columbia, 2011)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Deployment of wireless networks has risen rapidly in the last decade thanks to their convenience and flexibility. Meanwhile, multimedia service has ... -
Algorithm design and error analysis of quantized RSSI based localization in wireless sensor networks
(University of Missouri--Columbia, 2007)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Wireless Sensor Network localization is an important aspect in sensor network applications such as tracking and monitoring. The general goal of ... -
Algorithm for computation and visualization of weighted constrained Voronoi diagrams
(University of Missouri--Columbia, 2009)A weighted Voronoi diagram (WVD) has been developed in order to regionalize or allocate space around a predetermined set of points or generators for the case that generator points have different weights reflecting their ... -
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 ... -
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. ... -
Analysis of flame images in gas-fired furnaces
(University of Missouri--Columbia, 2007)A promising architecture is proposed in this research work for evaluating gasfired furnace flame combustion quality. The quality assessment is based on information on its fuel and oxidizer flow rate level which are the ... -
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 ... -
Analysis of the enzymatic network
(University of Missouri--Columbia, 2005)A biochemical network is very large, complex system with very diverse components. In order to study the behavior of networks, the first step is to study their architecture. Studying network architecture raises many basic ... -
Animal stay region detection and behavior analysis based on GPS trajectories
(University of Missouri--Columbia, 2016) -
App chaining software-as-a-service for an advanced manufacturing marketplace
(University of Missouri--Columbia, 2015)Advances in the field of cloud computing and networking have led to development of Marketplaces (e.g., Awesim) that support Advanced Manufacturing enterprises consisting of Apps. These Marketplaces host Apps that perform ... -
Appearance modeling for persistent object tracking in wide-area and full motion video
(University of Missouri--Columbia, 2016)Object tracking is a core element of computer vision and autonomous systems. As such single and multiple object tracking has been widely investigated especially for full motion video sequences. The acquisition of wide-area ... -
Application of deep learning networks to crime prediction
(University of Missouri--Columbia, 2013)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Crimes are a major public concern in cities. Every day, a tremendous amount of law enforcement and policemen have been assigned to patrol and protect ... -
An application of machine learning techniques to interactive, constraint-based search
(University of Missouri--Columbia, 2005)Search engine users frequently place additional constraints on search results that are not included in the user's original query. To respond to these additional constraints, search engine designers frequently add an "advanced ... -
Application-driven overlay network as a service for data-intensive science
(University of Missouri--Columbia, 2014)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Campuses are increasingly adopting hybrid cloud architectures for supporting data-intensive science applications that require "on-demand" resources, ... -
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 ... -
Applying visual routines in a cognitive model of visual analysis
(University of Missouri--Columbia, 2010)Through years of experience, expert image analysts acquire knowledge which allows them to perform an in-depth analysis of images quickly and efficiently. This research aims to build a humanlike framework and cognitive model ...