Browsing Computer Science electronic theses and dissertations (MU) by Thesis Advisor "Shang, Yi, 1967-"
Now showing items 1-20 of 37
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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 ... -
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 ... -
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 REQUEST OF AUTHOR.] Wireless Sensor Network localization is an important aspect in sensor network applications such as tracking and monitoring. The general goal of ... -
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. ... -
Animal stay region detection and behavior analysis based on GPS trajectories
(University of Missouri--Columbia, 2016)Nowadays, GPS technology is becoming an important tool in tracking and understanding wild animal behaviors. For example, Missouri Department of Conservation (MDC) has put GPS collars on more than 80 black bears and more ... -
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 ... -
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 ... -
Building shape-shifting tries for fast IP lookup
(University of Missouri--Columbia, 2010)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The Internet Protocol (IP) is a protocol used to communicate data over packet-switched internet works. The currently deployed version of the Internet ... -
Computational protein structure prediction using deep learning
(University of Missouri--Columbia, 2020)Protein structure prediction is of great importance in bioinformatics and computational biology. Over the past 30 years, many machine learning methods have been developed for this problem in homology-based and ab-initio ... -
Deep learning for small object detection in images
(University of Missouri--Columbia, 2020)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] With the rapid development of deep learning in computer vision, especially deep convolutional neural networks (CNNs), significant advances have been ... -
A deep learning method for protein model quality assessment
(University of Missouri--Columbia, 2014)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] -
Design and implementation of a middleware for ad-hoc multi-hop networking on Android
(University of Missouri--Columbia, 2012)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Currently on smartphones, short distance wireless communication between multiple phones mostly relies on existing network infrastructure, which has ... -
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 ... -
Development of a modular platform for ad hoc networking on Android
(University of Missouri--Columbia, 2012)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] As smartphones become more common and their capabilities improve, their usefulness in a variety of application areas also improves. The portability ... -
Empirical study of deep neural network architectures for protein secondary structure prediction
(University of Missouri--Columbia, 2017)Protein secondary structure prediction is a sub-problem of protein structure prediction. Instead of fully recovering the whole three dimensional structure from amino acid sequence, protein secondary structure prediction ... -
An evolutionary method for training autoencoders for Deep Learning Networks
(University of Missouri--Columbia, 2014)Introduced in 2006, Deep Learning has made large strides in both supervised an unsupervised learning. The abilities of Deep Learning have been shown to beat both generic and highly specialized classification and clustering ... -
A fast multiple longest common subsequence (MLCS) algorithm
(University of Missouri--Columbia, 2010)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Finding the longest common subsequence (LCS) of multiple strings is an NP-hard problem, with many applications in the areas of bioinformatics and ...