Dissertations & Theses: Recent submissions
Now showing items 21-40 of 151
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Exploring Deep Learning in Finance
(2022-05-20)Financial market analysis is process of analyzing market closely and predict the next move of market whether it will go up or down using historical data. Financial market is stochastic and has rapid changes over time, ... -
LEVERAGING AI AND SUPPLY CHAIN TECHNOLOGIES WITH THERMAL IMAGING AND TELEMEDICINE FOR EARLY DETECTION AND PREVENTION OF COVID-19 AND RESPIRATORY INFECTIONS IN URM COMMUNITIES
(2022-05-18)The underserved population could be at risk during the times of crisis, unless there is strong involvement from government agencies such as local and state Health departments and federal Center for Disease Control (CDC). ... -
Evaluating and Addressing the Transportation Challenges of Small-Scale Farmers and Ranchers in Regional Food Systems
(2022-05-17)During the last 20 years, there has been a significant increase in US consumers’ interest in local food. At the same time, there is substantial potential demand for crops produced by local small and mid-size farmers and ... -
Optimizing the Performance of Analytical Chemistry Instrumentation
(2022-05-04)Surrogate Optimization and Global Optimization approaches to optimize underlying functions have been studied and used extensively in the field of Operations Research. However, there are very few instances where these ... -
PLANNING AND OPTIMIZATION OF A STOCHASTIC MULTI-PHASE MULTI- CRITERIA MULTI-ECHELON HUMANITARIAN LOGISTICS NETWORK
(2019-11-12)Disasters, may that be anthropogenic or natural, cause much havoc to vast area and population. Property and infrastructures get destroyed. People are often in need of urgent relief like dry foods and water to survive. In ... -
DESIGN FOR OLDER ADULTS – FUNCTIONAL LIMITATIONS AND HUMAN FACTORS ENGINEERING
(2021-12-13)Background: Throughout the aging process, people experience changes in functional ability and such changes can happen in physical and mental functions. As a result, older adults develop limitations in their capabilities ... -
One Step at a Time: Improving the Fidelity of Geospatial Agent-Based Models Using Empirical Data
(2021-11-18)Agent-based modeling is frequently used to produce geospatial models of transportation systems. However, reducing the computational requirements of these models can require a degree of abstraction that can compromise the ... -
Uncovering Underlying Features for State Transition Modeling
(2019-09-06)Modeling of a dynamic system is the representation of the interconnectivity of system state variables and their evolutionary trajectory over time. In this dissertation, the terminology “state transition modeling” refers ... -
Machine Learning Framework for Nonlinear and Interaction Relationships Involving Categorical and Numerical Features
(2021-09-01)Traditionally, physical scientific experiments have been conducted extensively to study and understand the behavior of a process or a system. With the advancement of computing technology in recent years, computer codes and ... -
SHAPE-BASED TIME SERIES MINING FOR PROCESS MONITORING AND ANOMALY DETECTION
(2021-09-02)Due to the rapid development of computing and sensing technology, Internet of Things (IoT)-enabled monitoring plays a crucial role for people suffering from cardiac problems. It is important to detect the abnormal ECG ... -
TEENAGE CYCLISTS’ PERCEPTION TOWARDS AUTONOMOUS VEHICLES AND ITS ASSOCIATED TRAFFIC INFRASTRUCTURES
(2021-05-03)Background: Cycling is a cost-effective means of transportation. Many teenagers cycle to go to schools and ride in neighborhoods. Cyclists are more vulnerable to injuries and fatalities than motor vehicle drivers. With the ... -
DATA SCIENCE APPLICATIONS IN HEALTH AN SOCIAL CARE
(2018-12-04)Health and social care are areas of concern worldwide nowadays. Chronic diseases such as cancer and social problems such as tobacco consumption are leading risks of deaths in many countries, and preventive efforts are ... -
A PARAMETRIC PROCESS-BASED COST ESTIMATION FRAMEWORK TO SUPPORT CONCEPTUAL PRODUCT FAMILY DESIGN AND PRODUCTION
(2018-12-13)In today’s globally competitive environment, production costs estimation is a challenging task. This competitive market has brought specific strategies in the manufacturing sector, such as introducing more new products ... -
A TWO-STAGE STOCHASTIC PROGRAMMING MODEL FOR ENHANCING SEISMIC RESILIENCE OF WATER PIPE NETWORKS
(2020-09-03)Earthquakes are sudden and inevitable disasters that can cause enormous losses and suffering, and having accessible water is critically important for earthquake victims. To address this challenge, utility managers do ... -
A NEW METHOD TO ESTIMATE THE IMPACT ON THE L5/SI SPINAL DISC FROM SPEED LIFTING OF UNSTABLE LOADS, ASYMMETRICALLY
(2020-08-10)Background: The most significant causes of lower back injuries at work are probably from manual lifting activities. Lifting unstable loads pose a significant strain to the lower back and can cause debilitating lumbar spine ... -
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ... -
STATISTICAL META-MODEL FOR AIR TRAFFIC FLOW AND CAPACITY MANAGEMENT BASED ON AIRSPACE OPTIMIZATION-SIMULATION: THE CONTINUOUS CHALLENGE OF THE HUB OF THE AMERICA CONGESTION
(2018-08-31)Panama is only Country on the Americas with a Canal and the hub of Logistics that include the interaction of the Atlantic and the Pacific in a less than a day. This Logistics growth after the Panama Canal Expansion resulted ... -
ANALYZING COLLABORATION IN FOOD ASSISTANCE NETWORKS USING AGENT-BASED MODELING
(2019-08-05)To address the issue of food insecurity, many small independent agencies, known as food pantries, collect and distribute donated food to food-insecure clients. However, the supply of donated food varies significantly from ... -
A MULTI-AGENT DEMAND RESPONSE PLANNING AND OPERATIONAL OPTIMIZATION FRAMEWORK
(2019-08-29)This research describes a real-time optimization model for multi-agent demand response (DR) from a Load Serving Entity (LSE) perspective. We formulate two infinite horizon stochastic optimization models; specifically, an ... -
ROBUST, TIME-CRITICAL, EVIDENCE-BASED ADAPTIVE DATA FUSION
(2020-05-14)Sensors have become inevitable part of many studies and working areas ranging from navigation, transportation and medical applications. A sensor can help a user in a variety of situations including dangerous, inaccessible, ...