Digital Commons Network^™

Education As A Solution To Combat Rising Cybercrime Rates Against Children And Teenagers, Christian Javier Solis-Diaz

Electronic Theses, Projects, and Dissertations

Ninety seven percent (97%) of people between the ages of 3 and 18 are found to be users of technology and internet services daily. This number also correlates with rising cyber crime rates against people in this age bracket. It is found that people between 3 and 18 years old are found to be technologically savvy but often lack the knowledge of how to protect themselves in online environments. Researchers have suggested that cybersecurity awareness training is an effective method at combating common forms of cyberattack such as social engineering. Social engineering attacks are found to make up 98% of …

Building An Application Model For Efficient Ride Booking In Ride-Hailing Industry, Nikunjkumar Butani

Electronic Theses, Projects, and Dissertations

The purpose of this study is to develop an efficient ride booking application in the ride-hailing sector. The objective of the research is to provide users with an easy way to book rides at reasonable prices and convenient times. This project helps to promote the ride-hailing industry by providing guidance for the creation of real-time applications. This project answered three questions. 1. What are the technology and infrastructure requirements for developing a consolidated online application for centralized ride sharing? 2. What are other examples of application aggregators in other industries than transportation and how do they work? 3. What are …

Improving Credit Card Fraud Detection Using Transfer Learning And Data Resampling Techniques, Charmaine Eunice Mena Vinarta

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect credit card fraud. The research questions are: Q1. What cross-domain techniques developed in other domains can be effectively adapted and applied to mitigate or eliminate credit card fraud, and how do these techniques compare in terms of fraud detection accuracy and efficiency? Q2. To what extent do synthetic data generation methods effectively mitigate the challenges posed by imbalanced datasets in credit card fraud detection, and how do these methods impact classification performance? Q3. To what extent can the combination of transfer learning and innovative data resampling techniques …

Biomarkers Of Objective Criteria For Subtle Cognitive Decline In Parkinson’S Disease, Mary Ellen Garcia

Electronic Theses, Projects, and Dissertations

Mild cognitive impairment in Parkinson’s disease (PD-MCI) is the continuum from normal cognitive function to dementia. Recent studies suggest that objectively defined subtle cognitive decline (Obj-SCD), which uses non-traditional “process” neuropsychological scores, may be a better pathway to earlier detection of cognitive impairment. Obj-SCD has been defined as the stage where cognition is not impaired, but biomarkers are present or cognitive impairment is minimal but not sufficient to meet MCI or dementia criteria. We examined the longitudinal trajectories of neurodegenerative markers among individuals who are classified as cognitive normal (CN), Obj-SCD, and PD-MCI. Past literature has been inconsistent about the …

Predictive Model For Cfpb Consumer Complaints, Vyshnavi Nalluri

Electronic Theses, Projects, and Dissertations

Within the dynamic and highly competitive financial industry, the timely and efficient resolution of customer complaints stands as a central challenge, particularly in the intricate domain of mortgage services. The traditional processes for handling these complaints have long been recognized as laborious and resource-intensive, a situation that financial institutions, including the esteemed Wells Fargo, are keen to improve.

Currently, the industry largely relies on basic data analytics for identifying trends in customer complaints. However, this approach has its limitations, especially when dealing with complaints within the mortgage services domain. In response to this challenge, this research advocates the adoption of …

Automated Medical Notes Labelling And Classification Using Machine Learning, Akhil Prabhakar Thota

Electronic Theses, Projects, and Dissertations

The amount of data generated in medical records, especially in a modern context, is growing significantly. As the amount of data grows, it is very useful to classify the data into relevant classes for further interventions. Different methods that are not automated are very time-consuming and require manual effort have been tried for this before.

Recently deep learning has been used for this task but due to the complexity of the dataset, specifically due to inter-class similarities in the dataset and specific terminology having different meanings in medical contexts has caused significant problems in having a definitive approach to medical …

Lung Lesion Segmentation Using Deep Learning Approaches, Sree Snigdha Tummala

Electronic Theses, Projects, and Dissertations

The amount of data generated in the medical imaging field, especially in a modern context, is growing significantly. As the amount of data grows, it's prudent to make use of automated techniques that can leverage datasets to solve problems that are error-prone or have inconsistent solutions.

Deep learning approaches have gained traction in medical imaging tasks due to their superior performance with larger datasets and ability to discern the intricate features of 3D volumes, a task inefficient if done manually. Specifically for the task of lung nodule segmentation, several different methods have been tried before such as region growing etc. …

Twitter Policing, Hemanth Kumar Medisetty

Electronic Theses, Projects, and Dissertations

Police departments are frequently utilizing social media platforms to actively interact with the public. Social media offers an opportunity to share information, facilitate communication, and foster stronger connections between police departments and the communities they serve. In this context sentiment analysis of social media data has become a tool, for identifying sentiments and tracking emerging trends.

This project utilizes sentiment analysis to examine the social media interactions with particular data obtained from the Twitter (X). Initially, the project gathers social media data, from twitter mentioned accounts on Twitter utilizing web scraping techniques. Afterwards, we perform a thorough sentiment analysis using …

The Impact Of Covid-19 Pandemic On Fan Attendance In Major League Soccer (Mls) 2018-2022, Benjamin Appiah

Electronic Theses, Projects, and Dissertations

ABSTRACT

This culminating experience project investigates the impact of the COVID-19- on Major League Soccer (MLS). The research questions are: (Q1) How did the pandemic impact the trend of fan attendance in the MLS during the COVID-19 pandemic? (Q2) What factors impacted fan attendance in MLS games before the COVID-19 pandemic? (Q3) What factors impact fan attendance in MLS games after COVID-19 pandemic? The findings were: (Q1) Average annual fan attendance declined by 93.61% in 2019 and 2020, and an annua l increase of 49.47% between the year of 2020 and 2021. (Q2) The study revealed that 72.9% of the …

Hypothyroid Disease Analysis By Using Machine Learning, Sanjana Seelam

Electronic Theses, Projects, and Dissertations

Thyroid illness frequently manifests as hypothyroidism. It is evident that people with hypothyroidism are primarily female. Because the majority of people are unaware of the illness, it is quickly becoming more serious. It is crucial to catch it early on so that medical professionals can treat it more effectively and prevent it from getting worse. Machine learning illness prediction is a challenging task. Disease prediction is aided greatly by machine learning. Once more, unique feature selection strategies have made the process of disease assumption and prediction easier. To properly monitor and cure this illness, accurate detection is essential. In order …

Enhancing Accident Investigation Using Traffic Cctv Footage, Aksharapriya Peddi

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project investigated how the densenet-161 model will perform on accident severity prediction compared to proposed methods. The research questions are: (Q1) What is the impact of usage of augmentation techniques on imbalanced datasets? (Q2) How will the hyper parameter tuning affect the model performance? (Q3) How effective is the proposed model compared to existing work? The findings are: Q1. The effectiveness of our model depends on the implementation of augmentation techniques that pay attention to handling imbalanced datasets. Our dataset poses a challenge due to distribution of classes in terms of accident severity. To address this challenge …

Classification Of Large Scale Fish Dataset By Deep Neural Networks, Priyanka Adapa

Electronic Theses, Projects, and Dissertations

The development of robust and efficient fish classification systems has become essential to preventing the rapid depletion of aquatic resources and building conservation strategies. A deep learning approach is proposed here for the automated classification of fish species from underwater images. The proposed methodology leverages state-of-the-art deep neural networks by applying the compact convolutional transformer (CCT) architecture, which is famous for faster training and lower computational cost. In CCT, data augmentation techniques are employed to enhance the variability of the training data, reducing overfitting and improving generalization. The preliminary outcomes of our proposed method demonstrate a promising accuracy level of …

Disease Of Lung Infection Detection Using Cnn Model -Bayesian Optimization, Poojitha Gutha

Electronic Theses, Projects, and Dissertations

Auscultation plays a role, in diagnosing and identifying diseases during examinations. However, it requires training and expertise, for application. This study aims to tackle this challenge by introducing a model that categorizes respiratory sounds into eight groups: URTI, Healthy, Asthma, COPD, LRTI, Bronchiectasis, Pneumonia, and Bronchiolitis. To achieve this categorization the study utilizes a Convolutional Neural Network (CNN) model that has been optimized using techniques. The dataset used in the study consists of 920 audio samples obtained from 126 patients with durations ranging from 10 to 90 seconds. Impressively, the model demonstrates a noteworthy 83% validation accuracy and an impressive …

Early Development Of C3ar1-Targeting Chimeric Antigen Receptor T Cells For The Treatment Of Glioblastoma Multiforme, Cameron Fraser

Electronic Theses, Projects, and Dissertations

Glioblastoma multiforme is the most aggressive type of glioma, demonstrating extremely low long-term survival despite modern therapies. Chimeric antigen receptor T cells have shown extreme levels of success in the treatment of B cell lymphomas through persistent anti-tumor activity. Prior research has demonstrated the therapeutic potential in targeting the C3a-C3aR1 pathway as it acts in an autocrine loop, maintaining the proliferation and survival of cancer stem cells within the tumor. Here, we reorient the treatment to target C3aR1 for the treatment of glioblastoma multiforme. In order to achieve this, Jurkat immortalized T cells will express various chimeric antigen receptor designs …

Dna Self-Assembly Of Trapezohedral Graphs, Hytham Abdelkarim

Electronic Theses, Projects, and Dissertations

Self-assembly is the process of a collection of components combining to form an organized structure without external direction. DNA self-assembly uses multi-armed DNA molecules as the component building blocks. It is desirable to minimize the material used and to minimize genetic waste in the assembly process. We will be using graph theory as a tool to find optimal solutions to problems in DNA self-assembly. The goal of this research is to develop a method or algorithm that will produce optimal tile sets which will self-assemble into a target DNA complex. We will minimize the number of tile and bond-edge types …

Restaurant Management Website, Akhil Sai Gollapudi

Electronic Theses, Projects, and Dissertations

In the ever-evolving corporate landscape of today, it is crucial to respond to customer needs as efficiently and in a timely manner as possible. The project's primary objective is to create a method for clients to make reservations for restaurants online. This makes life easier for busy customers in their daily life.

Today, people are looking for comfort thanks to rapidly developing technology. As we can see, people invent and implement new technologies in all fields according to customer needs.

We got a unique restaurant idea that helps people save time. People prefer quick methods to get things done. With …

Comparing The Effectiveness Of Different Boosting Algorithms For Ground Water Quality In Telangana Region, Divy Jot

Electronic Theses, Projects, and Dissertations

This culminating experience research project explores the parameters needed to predict the water quality levels for use in different climatic conditions pre and post monsoon from 2018 to 2020 in Telangana State, India. A study was conducted on the water quality analysis by using linear regression with water quality Index in Telangana region. However, in this study we are replicating the water quality analysis by using stack model and machine learning algorithms such as Light Gradient Boosting Machine, Random Forest and Artificial Neural Network. The research Questions are: (Q1) What are the sources of the significant parameters that impact groundwater …

Aerosol Mutagenicity In San Bernardino, California Via Bacterial Fluctuation Tests, Sean Murphy

Electronic Theses, Projects, and Dissertations

San Bernardino, California’s poor air quality is a health risk to its population with some of the highest concentrations of ozone and aerosol in the United States. Aerosols are solid or liquid particles suspended in the air. Smaller aerosol particles are the most harmful as they are more likely to penetrate further into the respiratory system. These aerosols can cause respiratory issues and contain toxic compounds. One measure of aerosol toxicity is to study the mutagenicity of the aerosol. To study the mutagenicity of aerosol samples collected in San Bernardino in 2022, fluctuation tests (based on the Ames test for …

Psychological Distress And Problematic Video Gaming: The Role Of Psychological Inflexibility And Emotion Dysregulation, Frank Nieblas

Electronic Theses, Projects, and Dissertations

Our increasingly technology-driven society has seen a dramatic increase in reports of problematic video gaming. Emerging evidence suggests that psychological distress and avoidance lead to problematic internet use in psychologically vulnerable individuals (Burleigh et al., 2017; Rapinda et al., 2021; Yang et al., 2021). There is also evidence that this process is associated with psychological inflexibility and emotion dysregulation, which are two psychological mechanisms thought to be predictive of maladaptive coping. (Chou et al., 2017; Blasi et al., 2019). Although existing evidence points to a role of uncontrolled processes in maladaptive behavior, psychological mechanisms in which distressed individuals specifically develop …

Solar-Powered Mobility: Charting The Course For A Brighter Future With Solar Vehicles, Ravi Nayak

Electronic Theses, Projects, and Dissertations

Solar-powered vehicles utilize photovoltaic panels to harness solar energy, offering a promising solution to reduce greenhouse gas emissions and promote sustainable transportation. This research project focused on the challenges and limitations of solar-powered vehicles and aims to provide solutions for their widespread adoption. The research questions explored in this study are: (Q1) How do different geographical locations and climate regions affect the feasibility and practicality of solar-powered vehicles due to variations in sunlight availability? (Q2) How has the adoption of solar-powered vehicles contributed to the reduction of greenhouse gas emissions? (Q3) What policies and incentives can promote the adoption of …

Statistical Analysis And Machine Learning To Improve League Championship Series Teams, Alexander Gilles

Electronic Theses, Projects, and Dissertations

ABSTRACT

One area for further study in Esports is the use of advanced analytics from a performance standpoint. This culminating experience project sought to find and implement effective performance analytics techniques, using the most popular Esport (League of Legends) as its subject. The research questions asked are (Q1) How do champions, players, and their associated in-game variables impact the results of League of Legends matches? (Q2) How can machine learning algorithms be implemented to utilize descriptive and predictive analytics for League of Legends most effectively? Additionally, while not an element of the analysis and machine learning model, it is important …

Genetic Programming To Optimize Performance Of Machine Learning Algorithms On Unbalanced Data Set, Asitha Thumpati

Electronic Theses, Projects, and Dissertations

Data collected from the real world is often imbalanced, meaning that the distribution of data across known classes is biased or skewed. When using machine learning classification models on such imbalanced data, predictive performance tends to be lower because these models are designed with the assumption of balanced classes or a relatively equal number of instances for each class. To address this issue, we employ data preprocessing techniques such as SMOTE (Synthetic Minority Oversampling Technique) for oversampling data and random undersampling for undersampling data on unbalanced datasets. Once the dataset is balanced, genetic programming is utilized for feature selection to …

Sales And Stock Management System, Rashmika Gaddam Ms

Electronic Theses, Projects, and Dissertations

ABSTRACT

Grocery stores using Excel for managing sales and stock management could involve maintaining separate sheets for sales and stock data, with revenue/cost. This system could provide a basic level of tracking and analysis, allowing the grocery store to monitor sales trends and stock levels. However, using Excel for this purpose is not without its challenges. For example, the manual nature of data entry in excel can result in errors and inconsistencies, particularly if multiple people are involved in maintaining the sheets. Additionally, as the volume of sales and stock data grows, the Excel spreadsheet can become unwieldy and slow, …

Pathways Through Care Of Latinx Individuals Experiencing First-Episode Psychosis, Estevan Hernandez

Electronic Theses, Projects, and Dissertations

Many individuals experiencing first-episode psychosis (FEP) are unable to work or live independently due to the debilitating nature of their illness. Many individuals experiencing FEP fail to seek mental health treatment for their symptoms. The families of these individuals are often the first to notice early signs of psychosis and seek treatment for the individual (Bridges et al., 2012). there continues to be a high percentage of disengagement from mental health services which may, in turn, contribute to poorer outcomes across various areas in one’s life (Kreyenbuhl et al., 2009). There continues to be a high percentage of disengagement from …

Web Based Management System For Housing Society, Likhitha Reddy Eddala

Electronic Theses, Projects, and Dissertations

Web Based Management System for Housing Society plays a major role in our day-to-day life. We develop a global web dependent application using AngularJS, Node JS and MySQL, with Xampp as the server to make an effective management system. This system is designed to provide a user-friendly and efficient platform for managing all the details of daily notices, monthly meetings, events, payments, maids etc., This system mainly consists of three modules, they are: Admin, User and Security. Each module here serves specific features and functionalities present within society. Admin module provides the features for managing user, houses, security, maids, notices, …

Contactless Food Ordering System, Rishivar Kumar Goli

Electronic Theses, Projects, and Dissertations

Contactless food ordering has revolutionized the way a customer interacts with restaurants by allowing them to place orders and make transactions. Through these web-based platforms, customers can now browse menus, customize orders, and make payments seamlessly. By scanning the restaurant’s QR code, customers can reserve a table. If the table is available, then automatically it will be reserved. However, if the table is occupied the customer will be added to the waiting list. Once the customer selects desired food then they can securely make payments based on ordered food items. The food will be delivered straight to the customer's table. …

Public Relations For Cryptocurrency: Coinbase Guidebook, Logan Odneal

Electronic Theses, Projects, and Dissertations

Cryptocurrency has emerged as a disruptive force in the global financial landscape, challenging traditional systems and offering new possibilities for economic transactions. As this innovative technology gains traction, its reputation and public perception have become crucial factors for its widespread adoption and long-term success. However, the reputation of cryptocurrency and cryptocurrency organizations have been in crisis as multiple and widescale frauds and crashes have threatened the growth of the industry.

This project seeks to answer this issue by applying crisis communications and public relations frameworks to create a plain language guide to inform the consumer base and restore investor confidence …

Black Pugilism: The First Act In Twentieth Century America, Angel Mario Lopez

Electronic Theses, Projects, and Dissertations

When teaching about the twenty-first century in the United States of America, educators delve deeply into how the Jim Crow Era was but a new manifestation of a slave-era philosophy. As W.E.B. Du Bois states in his 1903 book The Souls of Black Folk, “the problem of the Twentieth Century is the problem of the color-line.” Inspiring pro-Jim Crow government officials and citizens to impose economic and political segregation on black citizens that, on paper, are “separate but equal” when infringing on their civil and human rights deliberately. Limiting the black individual to the status of second-class citizenship where …

Extended Substance, Danielle Brensinger

Electronic Theses, Projects, and Dissertations

Artist Statement:

“One of the most successful devices for easily creating uncanny effects is to leave the [viewer] in uncertainty.”

-Sigmeund Freud, “The ‘Uncanny’”

I’m interested in making people uncomfortable. Through the exploration of the uncanny, I exploit the unexpected and the psychological to embrace personal reactions. Like conversations we have with ourselves in the mirror, there’s an uncomfortable nature in looking beyond surface value. Utilizing beauty as a strategy and the laws of attraction, my work intends to entice a visual response only to be met with ambivalence. I try to establish a state of uncertain worlds, partial …

Factors Of Special Education Teacher Attrition Rates, Christopher Berry

Electronic Theses, Projects, and Dissertations

Special education teacher attrition rates negatively impact school districts, special education students, and parents. Replacing teachers is costly, inefficient, and leads to a constant turnover cycle that impacts student success. A quantitative research method was used to survey special education teachers in a large school district in southern California. Results indicated that administrative support was the most important factor teachers at both elementary and secondary settings reported,. Additionally, a comparison between novice and veteran teachers resulted in administrative support being the most important factor across all four categories. Future research should investigate using a mixed methodological design to gain a …