Browsing University of Missouri-Columbia by Thesis Department "Computer science (MU)"
Now showing items 41-60 of 314
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Building environmentally-aware classifiers on streaming data
(University of Missouri--Columbia, 2022)The three biggest challenges currently faced in machine learning, in our estimation, are the staggering quantity of data we wish to analyze, the incredibly small proportion of these data that are labeled, and the apparent ... -
Building hybrid multicast by combining IP and application layers
(University of Missouri--Columbia, 2007)This work presents new multicasting algorithm called Hybrid Multicast (HM). HM is a software solution that implements the integration between ALM and IP Multicast. The proposed solution always tries to use IP Multicast ... -
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 ... -
Calculating information leakage using model checking tools
(University of Missouri--Columbia, 2014)A confidential program should not allow any information about its secret inputs to be inferred from its public outputs. As such confidentiality is difficult to achieve in practice, it has been proposed in literature to ... -
Capturing and managing daily symptoms data in the treatment of autism spectrum disorder using mobile technology
(University of Missouri--Columbia, 2020)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Autism Symptom Disorder (ASD) is a heterogeneous group of neurodevelopmental disorders characterized by difficulties with social interaction and ... -
Characterizing low-dimensional phenotypes by clustering
(University of Missouri--Columbia, 2015)A person's height is influenced by many factors, such as her parents' heights and how well she was nourished as a child. The features of an organism that can be seen are called phenotypes. Phenotypes that are influenced ... -
Classification of twitter trends using feature ranking and forward feature selection
(University of Missouri--Columbia, 2015)Twitter scales 500 million tweets per day and has 316 million monthly active users. The majority of tweets are in the form of natural language. Using natural language makes it difficult to understand Twitter's data ... -
Clinical content tracking system: an efficient request tracking via a graphical user interface
(University of Missouri--Columbia, 2007)We propose a new system called Clinical Content Tracking System (CCTS) that is a pre-component of a Computerized Physician Order Entry (CPOE) system. CCTS is a tool that helps physicians build clinical contents, in an ... -
Combining shamir and additive secret sharing to improve efficiency of SMC primitives against malicious adversaries
(University of Missouri--Columbia, 2020)Secure multi-party computation provides a wide array of protocols for mutually distrustful parties be able to securely evaluate functions of private inputs. Within recent years, many such protocols have been proposed ... -
A compact representation for 3D animation using octrees and affine transformation
(University of Missouri--Columbia, 2009)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] We present a new and compact 3D representation for non-rigid objects using motion vectors between two consecutive frames. Our method relies on an ... -
Comparing TCP-IPv4TCP-IPv6 network performance
(University of Missouri--Columbia, 2013)The Internet Protocol version 4 (IPv4) has been the backbone of the Internet since its inception. The growth and success of the Internet has accelerated the consumption of the IPv4 address space and hence its exhaustion ... -
Complexity reduction and visualization tool for RDF knowledge network application in precision medicine
(University of Missouri--Columbia, 2015)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Precision medicine is one of the most rapidly emerging areas of research and development, crucial for improving patient care, but there is a lack of ... -
A comprehensive web-based platform for multi-omics data-driven phenotype prediction and marker discovery
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] The G2PDeep-v2 server is a comprehensive web-based platform powered by deep learning, providing phenotype prediction and markers discovery. Despite the availability of similar phenotype prediction ... -
Computational algorithms for predictive health assessments
(University of Missouri--Columbia, 2015)Rapid aging of the population in the US requires increased attention from health care providers and from the entire society as a whole. While the elderly population (aged over 65) will increase by 8% until 2050 in the ... -
Computational analysis of tongue image for health diagnosis
(University of Missouri--Columbia, 2017)Tongue, the primary taste organ in the mouth, can reflect the whole body's health conditions based on the Traditional Chinese Medical (TCM) theories. Watching the tongue is one of the most common, essential and reliable ... -
Computational methods for bacterial characterization and bacteria-host/environment interaction analyses
(University of Missouri--Columbia, 2012)With the rapid development of next-generation sequencing technologies, bacterial identification becomes a very important and essential step in processing genomic data, especially for metagenomic data. Many computational ... -
Computational methods for protein structure prediction and next-generation sequencing data analysis
(University of Missouri--Columbia, 2016)With the wide application of next-generation sequencing technologies, the number of protein sequences is increasing exponentially. However, only a tiny portion of proteins have experimentally verified structures. The huge ... -
Computational optimization algorithms for protein structure refinement
(University of Missouri--Columbia, 2014) -
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 ... -
Computer vision for plant and animal inventory
(University of Missouri--Columbia, 2021)The population, composition, and spatial distribution of the plants and animals in certain regions are always important data for natural resource management, conservation and farming. The traditional ways to acquire such ...