Dissertations & Theses: Recent submissions
Now showing items 41-60 of 151
-
Assessing the impact of Principal Component Analysis on accurately predicting melanoma diagnosis applied on different classification models
(2019-11-26)With huge amounts of data at our disposal in the medical field, mathematical models are built to diagnose diseases. This study focuses on melanoma because it’s the type of skin cancer that accounts for most deaths, up to ... -
MULTIVARIATE TIME SERIES PATTERN RECOGNITION USING MACHINE LEARNING AND DEEP LEARNING METHODS
(2019-12-16)In this research work, we have implemented machine learning & deep-learning algorithms on real-time multivariate time series datasets in the manufacturing & health care fields. The research work is organized in two ... -
MARS Knot Positioning and Global Optimization
(2019-08-12)Multivariate adaptive regression splines (MARS) is a statistical modeling approach with wide real-world applications. In the MARS model building process, knot positioning is a critical step that potentially affects the ... -
Sparse Representation and Learning for Discriminative EEG Source Imaging
(2018-05-07)As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic ... -
ACCELERATED AGING OF A SWITCHING POWER SUPPLY PROTOTYPE
(2018-12-13)The LVPS (Low Voltage Power Supply) is a switching power supply custom designed for the ATLAS Tile Calorimeter at the Large Hadron Collider in Geneva Switzerland. Over one thousand of these LVPS, also called ’bricks’, will ... -
A Dynamic Policing Simulation Framework
(2018-12-11)Crime is a serious problem to a society, and its costs are an economic burden. With the help of technology and developed tools, law enforcement agencies are making significant efforts to combat crime, so as to create a ... -
Proposing a Sparse Weighted Directed Network Construction Method and a Novel Mutual-Information based Sparse Feature Selection Algorithm for Multivariate Time-series Analysis and its Application in Medical Diagnostic Problems
(2018-08-24)The main purpose of this study is feature engineering/learning from multivariate (MV) time-series to achieve a more interpretable model by dimension reduction. This aim is fulfilled in 2 main parts. In part 1, we proposed ... -
TK-MARS: An Efficient Approach for Deterministic and Stochastic Black-Box Optimization
(2018-08-23)Surrogate optimization approaches for black-box functions focus on approximating the underlying function, using metamodeling techniques, in order to optimize computationally expensive simulation models. Historically, ... -
Adjusting for Time Varying Confounding in Adaptive Interdisciplinary Pain Management Program
(2018-09-10)Interdisciplinary pain management combines multiple disciplines of professionals to understand the biological and psychosocial factors causing a patient's pain and to determine the best treatments among many to administer. ... -
OPTIMIZING A SYSTEM OF ELECTRIC VEHICLE CHARGING STATIONS
(2018-05-07)There has been a significant increase in the number of electric vehicles (EVs) mainly because of the need to have a greener living. Thus, ease of access to charging facilities is a prerequisite for large scale deployment ... -
Some New Results for Equilibria of N-Person Games
(2017-11-28)In this dissertation, we present four journal articles in the area of game theory. In the first article, we define a generalized equilibrium for n−person normal form games. We prove that the Nash equilibrium and the mixed ... -
DEVELOPMENT OF A FRAMEWORK AND ANALYSIS SYSTEM TO SUPPORT INTERVENTION IN NEWBORN HEALTHCARE
(2017-11-27)One of the most vulnerable populations in healthcare is the newborn infant. As hospitalization for childbirth is the largest cause for entry into a healthcare facility, the population of newborns each year is extensive as ... -
Probability of Success in Program Management
(2017-11-16)The field of Program Management is subject to high program failures. The Project Management Institute (PMI) states that 74% of programs are executed unsuccessfully (Mulcahy, Rita). The high rate of program failures is ... -
Using Approximate Dynamic Programming to Control an Electric Vehicle Charging Station System
(2017-08-11)Dynamic programming (DP) as a mathematical programming approach to optimize a system evolving over time has been applied to solve the multi-stage optimization problems in a lot of areas such as manufacturing systems and ... -
MULTI-OBJECTIVE TWO-STAGE STOCHASTIC PROGRAMMING FOR ADAPTIVE INTERDISCIPLINARY PAIN MANAGEMENT WITH PIECE-WISE LINEAR NETWORK TRANSITION MODELS
(2017-08-16)Pain is the most common symptom when a patient visits a physician. People experience pain throughout their lifetime at different degrees. If short term pain is not treated properly, then it can become long term pain, ... -
DYNAMIC CONSTRAINT OPTIMAL SELECTION TECHNIQUES FOR LINEAR PROGRAMMING
(2016-05-13)Linear programming has been studied for over 60 years. It has been considered as one of the most valuable optimization tool for many industrial problems. The simplex algorithm remains the predominant approach to solving ... -
Productivity Improvement and Cost Optimization of Small and Medium Scale Enterprises
(2017-05-11)Productivity improvement and cost optimization have been a topic of discussion for at least a century. The publication of Fredrick Taylor’s book ‘The Principles of Scientific Management’ in 1911 can be considered as the ... -
Risk Assessment and Analysis of Pharmaceutical Industry due to Recalls
(2017-05-04)In the past five years, there have been 5900 recalls of drugs by the U.S. Food and Drug Administration (FDA) which created distraught consumers and shareholders of pharmaceutical companies. In addition, recalls cause ... -
Predicting a Quarterback's Fantasy Football Point Output For Daily Fantasy Sports Using Statistical Models
(2017-04-24)In the new age of daily fantasy sports (DFS), fantasy football has become an enormous revenue generator for DFS sites, such as DraftKings and FanDuel. Both companies are valued over \$1 billion. However, previous analysis ... -
Outcome And State Transition Modeling For Adaptive Interdisciplinary Pain Management
Pain management is a major global health problem. The World Health Organization estimates that, globally, 1 in 5 adults suffer from chronic pain and in the United States alone, chronic pain affects nearly 100 million ...