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A New Solution for Improving Transmission Line Distance Protection Security During System-Wide Cascading Failures
(2018-04-27)
Protection misoperation is responsible for a large portion of all cascading failures. These cascading failures can lead to blackouts that have tremendous social impacts. This dissertation proposes a new method that uses ...
Machine Learning Guided Discovery and Design for Inertial Confinement Fusion
(2019-03-25)
Inertial confinement fusion (ICF) experiments at the National Ignition Facility (NIF) and their corresponding computer simulations produce an immense amount of rich data. However, quantitatively interpreting that data remains ...
Affect Recognition Using Electroencephalography Features
(2017-05-08)
Affect is the psychological display of emotion often described with three principal dimensions: 1) valence 2) arousal and 3) dominance. This thesis work explores the ability of computers to recognize human emotions using ...
Semiparametric Classification under a Forest Density Assumption
(2017-04-24)
This dissertation proposes a new semiparametric approach for binary classification that exploits the modeling flexibility of sparse graphical models. This approach is based on non-parametrically estimated densities, which ...
Measurement to Intelligence: Feature Extraction, Modeling and Predictive Analysis of Asymmetric Conflict Events
(2014-06-06)
The conflict events that comprise asymmetric warfare are a primary killer of both combatants and civilians on the modern battlefield. Improvised explosive devices (IED) and direct fire (DF), the most common of these attacks, ...
A Recommendation System for Preconditioned Iterative Solvers
(2011-02-22)
Solving linear systems of equations is an integral part of most scientific simulations. In
recent years, there has been a considerable interest in large scale scientific simulation of
complex physical processes. Iterative ...
Comparison of Machine Learning Algorithms in a Human-Computer Hybrid Record Linkage System
(2021-04-28)
Record linkage, often called entity resolution or de-duplication, refers to identifying the same entities across one or more databases. As the amount of data that is generated grows at an exponential rate, it becomes ...
Playing Hide-and-Seek with Spammers: Detecting Evasive Adversaries in the Online Social Network Domain
(2012-10-19)
Online Social Networks (OSNs) have seen an enormous boost in popularity in recent years. Along with this popularity has come tribulations such as privacy concerns, spam, phishing and malware. Many recent works have focused ...
Scaling Up Reinforcement Learning without Sacrificing Optimality by Constraining Exploration
(2012-12-05)
The purpose of this dissertation is to understand how algorithms can efficiently learn to solve new tasks based on previous experience, instead of being explicitly programmed with a solution for each task that we want it ...
Overcoming Clonal Interference in Escherichia coli Using Genderless High Frequency Recombination Strains
(2014-04-16)
Adaptive laboratory evolution (ALE) is a powerful tool for strain improvement,
and has been applied successfully to improve a range of desirable phenotypes in
model organisms through continuous cultivation under a selective ...