Browsing Department of Computer Science and Electrical Engineering (UMKC) by Thesis Department "Mathematics (UMKC)"
Now showing items 1-13 of 13
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Anisotropic Mesh Adaptation for Image Segmentation based on Partial Differential Equations
(2020)As the resolution of digital images increases significantly, the processing of images becomes more challenging in terms of accuracy and efficiency. In this dissertation, we consider image segmentation by solving a partial ... -
Development of pulsed power sources using self-sustaining nonlinear transmission lines and high-voltage solid-state switches
(2021)The demand for short pulses capable of delivering high peak power is increasing by leaps and bounds over the last few decades. These pulses are garnering attraction from a wide variety of end-users associated with the ... -
Disaster and infrastructure scene understanding
(2021)Urban scenes are visually complex as they contain physical objects and their spatial-temporal dynamic processes, including natural disasters and human-centered socio-economic activities. Image-based understanding of urban ... -
Dynamic Virtual Network Restoration with Optimal Standby Virtual Router Selection
(2015)Network virtualization technologies allow service providers to request partitioned, QoS guaranteed and fault-tolerant virtual networks provisioned by the substrate network provider (i.e., physical infrastructure provider). ... -
Efficient sequential designs with asymptotic second-order lower bound of Bayes risk for estimating product of means
(2019)In order to estimate the reliability of sequentially designed procedures under the Bayesian framework with conjugate priors, a sharp lower bound for the Bayes risk has been derived. Chapter 1 and 2 introduce the background ... -
Fault Diagnosis and Condition Monitoring of Power Electronic Components Using Spread Spectrum Time Domain Reflectometry (SSTDR) and the Concept of Dynamic Safe Operating Area (SOA)
(2021)Fault diagnosis and condition monitoring (CM) of power electronic components with a goal of improving system reliability and availability have been one of the major focus areas in the power electronics field in the last ... -
First and Second Order Efficiency of Sequential Designs in a Nonlinear Situation with Applications
(University of Missouri--Kansas City, 2016)In many statistical problems, optimal designs may be infeasible with their dependence on the parameters, which are unknown a priori. In such circumstances, choosing the next design points adaptively by making good use of ... -
Machine Learning based Predictive Modeling of Stochastic Systems
(2023)Complex signals are ubiquitous in our daily lives, and interpreting and modeling them is vital for scientific advancement. Traditional methods for predictive modeling of complex signals include statistical signal processing ... -
Measuring Level of Degradation in Power Semiconductor Devices using Emerging Techniques
(2021)High thermal and electrical stress, over a period of time tends to deteriorate the health of power electronic switches. Being a key element in any high-power converter systems, power switches such as insulated-gate bipolar ... -
Ontology-based methods for disease similarity estimation and drug repositioning
(University of Missouri--Kansas City, 2012-10-02)Human genome sequencing and new biological data generation techniques have provided an opportunity to uncover mechanisms in human disease. Using gene-disease data, recent research has increasingly shown that many seemingly ... -
RUPEE: A Big Data Approach to Indexing and Searching Protein Structures
(2021)Given the close relationship between protein structure and function, protein structure searches have long played an established role in bioinformatics. Despite their maturity, existing protein structure searches either ... -
Sequential Designs with Application in Software Engineering
(2014-03-31)Presented here is a Bayesian approach to test case allocation in the software reliability estimation. Bayesian analysis allows us to update our beliefs about the reliability of a particular partition as we test, and thus, ... -
Vision task driven image super-resolution and image enhancement
(2021)In visual object recognition problems, low-light exposure, and low-quality images present great challenges in a variety of navigation and surveillance use cases. Recent advancements in deep learning-based methods may ...