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Browsing Volgenau School of Engineering Graduate Research by Title

Browsing Volgenau School of Engineering Graduate Research by Title

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  • Analysis of Social Media Comments 
    Mohamed, Mazen (2021-04-28)
    Fighting the COVID-19 is widespread acceptance of the covid-19 vaccines. Achieving the widespread uptake might be challenging and may be obstructed by the misinformation prevalent in social media. The social media platforms ...
  • Bert Model for Social Media Bot Detection 
    Heidari, Maryam; Jones, James H Jr. (2022-03)
    Millions of online posts about different topics and products are shared on popular social media platforms. One use of this content is to provide crowd-sourced information about a specific topic, event, or product. However, ...
  • Beyond Bibliometrics: Understanding Library Services in Multidisciplinary Research 
    Mahapasuthanon, Pattiya; Hoffman, Kimberly (Mason Graduate Interdisciplinary Conference, 2019-04-06)
    Bibliometric methods, using citations as data, are an alternate way to learn from the literature of science and technology. These statistical methods are used, with visualization tools, to determine the relationship between ...
  • Bias prevention in Loan Applications by Using Machine Learning Models 
    Zaid, Altukhi; Kordu, Sushma Sree; Muraleedharakumar, Dipukumar; Wilson, Carlton (2021-04-28)
    Creditworthiness is based on how the borrower handled debt and credit. Creditworthiness is how a lender decides if the person or company who requests for money can repay the loan that will be borrowed. The first step to ...
  • Bimodal Data Mining: Integration of Key Data and Semantic Analysis for Text/Audio Datasets 
    Corja, Victor; Crow, Austin; Liu, Nannan (2021-04-28)
    This research was aimed at combining these individual methodologies into a consolidated model that takes in data in both audio and text format. For each desired function, models were selected and ranked by adherence ...
  • Classification vs Regression Models for Creating prediction models for vaccination rates of incoming kindergarten students 
    Lee, Chen Yuan; Orellana, Erick; Zhu, Kening (2021-04-28)
    Vaccinations have been proven over the years to help treat some of the deadliest diseases as well as to prevent the further spread of those diseases. A major factor that can dictate the success or failure of a vaccine at ...
  • Cloud Computing: Literature Review 
    Hassan, Rakibul (2019)
    Cloud computing has recently emerged as a new paradigm for hosting and delivering services over the Internet. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for ...
  • A CNN/MLP Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs 
    Mirzaeian, Ali (2021)
    The applications of machine learning algorithms are innumerable and cover nearly every domain of modern technology. During this rapid growth of this area, more and more companies have expressed a desire to utilize machine ...
  • Combinatorial Trends of Tissue Engineering for Peripheral Nerve Regeneration 
    Dando, Emma (2022-05)
    Peripheral nerve damage is frequently seen due to injury or illnesses, like diabetes. Despite its prevalence and the fact that many patients with less serious injuries have good clinical outcomes, many patients do not ...
  • Comparative Analysis of Medication Based on Machine Learning Models 
    Kouser, Nashid; Barekzai, Sara (2021-04-28)
    Our society is seeing a sharp rise in the number of people suffering from complicated chronic diseases. Presently, 6 in 10 adults in the United States have a chronic disease. This is the leading cause of death and the ...
  • Conditional Classification: A Solution for Computational Energy Reduction 
    Mirzaeian, Ali; Manoj P D, Sai; Vakil, Ashkan; Homayoun, Houman; Sasan, Avesta (2021)
    Deep convolutional neural networks have shown high efficiency in computer visions and other applications. However, with the increase in the depth of the networks, the computational complexity is growing exponentially. In ...
  • COVID-19 Vaccine Data Review and Reactions on Social Media 
    Bhandari, Shova; Mohamed, Mazen; Maupin, Jake (2021-04-28)
    The USA is one of the hardest hit areas by COVID-19. As of March 13th, 2021, 29.5M people were infected and 534K have lost their lives [1]. The USA government has authorized Pfizer and Moderna mRNA COVID-19 vaccines for ...
  • Data Analysis for Fraud Detection in Finance 
    Almutairi, Raghad; Godavarthi, Abhishek; Reddy Kotha, Arthi (2022-06-04)
    Credit card use is not always the best way to use for payments, but the most demonstrable payment mode is through the credit card for both offline as well as for online payments, which can result in deficit of funds. As ...
  • Data Analysis for Prediction of Health in Society 
    Kittisupakorn, Srisuda (2021-04-28)
    This research focused on how the quality of life affected in term of healthcare, education, and parent’s income. Data analyses review the difference percentage of children without attending school and parent’ s income ...
  • Data Analysis for Prediction of Stock Market Performance 
    Nakano, Fernando; Pilli, Nanditha; Cirtain, Melissa; Turner, Gabrila (2021-04-28)
    If you have followed the news in US between January and February in 2021, an event occurred on the stock market: a group of people on a subreddit forum WallStreetBets a longstanding subreddit that had over 3.5M Reddit ...
  • Data Analysis to Analyze Mental Health in Global Pandemic 
    Antonova, Helen; Liao, Spencer; Chandra Sai Pamidimukkala, Eswara (2022-06-08)
    According to the 2021 Report from the World Health Organization (WHO), more than 700,000 people have taken their life. Suicide can be prevented but so far most of the efforts to do so have fallen short. However, the use ...
  • Data Analytic approach for Opinion Mining in Important Events 
    Xu, Ge (2021-04-28)
    The best way to predict the future is to study the past. This is one of the basic ideas behind big data analytics. As an example, some presidents utilize a data-driven approach in their campaign for the elected presidency. ...
  • Data Analytic Methods for Institutional Discrimination Detection in Finance Applications 
    Wilson, Carlton (2021-04-30)
    Banks are slowly recovering from the COVID 19 pandemic. This is the effect of The American Rescue Plan of 2021. As a result, consumers are spending and putting money back into the economy. As we begin to see light at the ...
  • Data Analytics Research for COVID19 Pandemic 
    Tran, Thao (2021-04-28)
    The importance of learning about where and how coronavirus has entered the United States will help further our understanding of the disease. According to CDC, the first coronavirus case in the US has been identified ...
  • Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks 
    Mirzaeian, Ali; Kosecka, Jana; Homayoun, Houman; Mohsenin, Tinoosh; Sasan, Avesta (2021)
    This paper proposes an ensemble learning model that is resistant to adversarial attacks. To build resilience, we introduced a training process where each member learns a radically distinct latent space. Member models are ...

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