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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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  • Machine Learning and Transfer Learning Applications in Finance Sector 
    Zaid, Altukhi (2021-04-28)
    The American Rescue Plan of 2021 cause consumers to spend and put money back into the economy in the COVID19 pandemic. As we begin to see light at the end of the tunnel, this is good news for the banking industry and ...
  • Machine Learning Application in Health 
    Alshabana, Ghadah; Tran, Thao; Chitimalla, Ashritha; Thompson, Michael (2022-06-10)
    Coronavirus can be transmitted through the air by close proximity to infected persons. Commercial aircraft are a likely way to both transmit the virus among passengers and move the virus between locations. The importance ...
  • Machine Learning Applications in Finance 
    Kodru, Sushma Sree (2021-04-28)
    Now is an opportune time to for everyone. Let us acknowledge that now because it is very important that the current credit scoring system in place needs to be improved and accurate to avoid any risk going forward. We know ...
  • Machine Learning Model to Detect Emergency in the Global Pandemic 
    Raju, Rini (2021-01-11)
    It is crucial to use advanced machine learning models to improve disaster and emergency response in critical events around the world. In this paper, we introduce a new model, which can highlight the essential help that ...
  • Machine Learning Models and Transfer Models for Measuring Impact of the Pandemic on Communities 
    Berdibekov, Timur (2021-04-28)
    This paper studies the relationship between the 2019 Novel Coronavirus (COVID-19) pandemic, its public health and economic impact, and rates of economic inclusion and access to banking services throughout the pandemic in ...
  • Machine Learning models for Customer Relationship Analysis to Improve Satisfaction Rate in Banking 
    Fabijanczyk, Patricia; Bagam, Lahari; Jia, Nan (2021-04-28)
    The purpose of this research project was to analyze customer complaint data from financial institutions and iden- tify areas of opportunity for these institutions to improve their customer satisfaction rate. In addition ...
  • Machine learning Models for Mental Health Analysis based on Religious Impact 
    Ashraf, Waseem; Dontha, Krishna Sri; Kancheti, Tarun Kumar (2021-04-28)
    Once a taboo topic, recently we have seen a greater awareness of suicide and the factors that influence the suicide rate. There are many factors that influence the suicide rate, among these factors are religious affiliation ...
  • Machine learning models for Prediction of the need for future Covid-19 vaccine booster 
    Marzook, Ahmad Al; Xu, Ge; Jagannath, Prajna Shetty (2021-04)
    About 4 million Virginia citizens are fully vaccinated against COVID-19. According to medical data from nations like Israel and the United Kingdom, all those people may require another shot in the near future, at least ...
  • Machine learning Models for Quality of Children’s Lives 
    Teh, Bloti; Kittisupakorn, Srisuda (2021-04-28)
    Electoral system design is a key component of a democratic regime. The design of an electoral system may increase the driving force of political change. If the electoral system does not go well, it will lead to ...
  • Machine Learning Techniques for Analysis of Political Campaign 
    Xu, Ge; Hapikul, Suchada (2021-04-28)
    In the latest U.S. election of 2020, the voting results confirmed Biden as the 46th president of the United States. After the U.S. presidential election results have been announced, we have seen in some news reports, ...
  • ML models for Customer Relationship Analysis in Finance 
    Jia, Nan; Bagam, Lahari; Fabijanczyk, Patricia (2022-06-08)
    The purpose of this research project was to analyze customer complaint data from financial institutions and identify areas of opportunity for these institutions to improve their customer satisfaction rate. In addition ...
  • Modeling the Effects of Dehydration on Cellular Growth and Wound Repair 
    Dando, Emma (2021-06-15)
    Dehydration is a common problem among athletes and the elderly, both of whom get injured more frequently than the average adult. Dehydration has been linked to reduced circulation, a reduced amount of water being absorbed ...
  • Multicore Processor Performance Analysis 
    Kolhe, Gaurav S. (2019)
    Central Process Units (CPUs) are becoming the standard processors of current computing systems design. With the increasing performance requirements, the number of transistors on single chip unit cannot grow exponentially ...
  • Natural Language Processing Approach for Recommender Systems 
    Tadepalli, Sowndarya Lahari (2021-04-28)
    Playlists have become a significant part of our music listening experience today. There are over three billion of these on Spotify alone. Along these lines, it is basic for a recommender structure to have the limit perceive ...
  • Neurological Manifestation of COVID-19: An Updated Literature Review 
    Eltayeb, Sohaib; Peixoto, Nathalia (2022-05)
    SARS-CoV-2, which causes the disease known as Coronavirus Disease 2019 (COVID-19), is a novel coronavirus that arose in Wuhan, China in 2019. Within a short time, it rapidly spread across the world and has been declared ...
  • New York City Shooting Victims: Data Analysis Of The Most At Risk Population 
    Kukreja, Arush (2021-04-28)
    According to a report published by The City University of New York, it is estimated that in the year 2018 the number of visitors to New York City hit a record of 65.1 million (Tourism, 2020). New York City also ...
  • NLP approach for Mental Health Problems Associated with Social Media Activities 
    Tamma, Deepthi (2021-04-28)
    While social media has brought countless social benefits, the increased inter connectivity has introduced unforeseen social issues. Among younger people in particular, where social media use is ubiquitous, there is concern ...
  • NLP Model for Effect of Social Media on Health 
    Duncan, Brianni (2021-04-28)
    Social Media is a tool that offers users enter- tainment, creative expression, networking opportunities, more accessible access to an abundance of resources. However, there is an alarming increase in mental illnesses ...
  • Online User Profiling to Detect Social Bots on Twitter 
    Heidari, Maryam; Jones, James H. R.; Uzuner, Ozlem (2021-03)
    Social media platforms can expose influential trends in many aspects of everyday life. However, the trends they represent can be contaminated by disinformation. Social bots are one of the significant sources of ...
  • Optogenetics: Using Light to Investigate and Potentially Treat Neurological and Psychological Disorders 
    Kub, Michael (2019)
    Optogenetics is an innovative neuromodulation technique involving the use of light and light-sensitive proteins to control molecular events within a genetically modified cell. The fundamental mechanism behind optogenetics ...

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