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Browsing College of Engineering and Computing by Title

Browsing College of Engineering and Computing 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 ...
  • An Application of Bayesian Networks to Antiterrorism Risk Management for Military Planners 
    Hudson, Linwood D.; Ware, Bryan S.; Laskey, Kathryn B.; Mahoney, Suzanne M. (2005-11-18)
    Recent events underscore the need for effective tools for managing the risks posed by terrorists. Assessing the threat of terrorist attack requires combining information from multiple disparate sources, most of ...
  • Attempted Prediction of Emotional Valence from EEG Using Multidimensional Directed Information 
    Clayton A Baker (2022-05)
    Quantitative measurement of a person’s emotional state can aid performance in a number of areas, such as human-machine interactions, and psychological research. Electroencephalogram (EEG) data has shown potential as a ...
  • Bayesian ontologies in AI systems 
    Costa, Paulo C. G.; Laskey, Kathryn B.; AlGhamdi, Ghazi (2006-07-30)
    Ontologies have become ubiquitous in current-generation information systems. An ontology is an explicit, formal representation of the entities and relationships that can exist in a domain of application. Following a ...
  • Bayesian Semantics for the Semantic Web 
    Costa, Paulo C. G. (George Mason University, 2005-07-12)
    Uncertainty is ubiquitous. Any representation scheme intended to model real-world actions and processes must be able to cope with the effects of uncertain phenomena. A major shortcoming of existing Semantic Web technologies ...
  • Belief in Belief Functions: An Examination of Shafer's Canonical Examples 
    Laskey, Kathryn B. (North-Holland, 1989)
    In the canonical examples underlying Shafer-Dempster theory, beliefs over the hypotheses of interest are derived from a probability model for a set of auxiliary hypotheses. A belief function differs from a Bayesian probability ...
  • 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 ...
  • Biophysical Neuromodulation: An Integrative Approach 
    Bush, Joshua (2020)
    The brain remains the key to our experiential reality. From sensory perception to an internal expanse the brain remains the hardware and processing unit. The age in which we can precisely alter the hardware with which we ...
  • BML Enabled Information Exchange Framework in SES Ontology for C2 
    Lee, Hojun; Zeigler, Bernard (2009-10-05)
    This paper explores the Information Exchange Framework (IEF) concept of distributed data fusion sensor networks in Network-centric environment. It is used to build up integrative battlefield pictures through the Battle ...
  • 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 ...
  • Comparing Muscle Spindle Afferent Models 
    Hachem, Stephanie (Teknos, 2020)
    Proprioception, the internal sense of where your body parts are relative to each other, is essential for many, particularly bimanual, daily activities. Unfortunately, because modern prosthetics lacks this sense it is often ...
  • 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 ...

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