Browsing by Author "Herndon, Nic"

Now showing items 1-6 of 6

  • AN EMPIRICAL STUDY OF CONCURRENT FEATURE USAGE IN GO 

    Tipirneni, Dhana Srimanthini (East Carolina University, 2022-12-05)
    The Go language includes support for running functions or methods concurrently as goroutines, which are lightweight threads managed directly by the Go language runtime. Go is probably best known for the use of a channel-based, ...

  • Applied Machine Learning for Cybersecurity in Spam Filtering and Malware Detection 

    Sokolov, Mark (East Carolina University, 2020-11-17)
    Machine learning is one of the fastest-growing fields and its application to cybersecurity is increasing. In order to protect people from malicious attacks, several machine learning algorithms have been used to predict the ...

  • Automated Dental Aesthetics with Machine Learning 

    Mehta, Ashwinee (East Carolina University, 2022-12-06)
    While dentures contribute an important role in restoring the dental and facial structure, facial aesthetics are an equally important consideration during the restoration of a patient with missing upper, lower, or both upper ...

  • Machine Learning Techniques to Aid Breast Cancer Recurrence Prediction 

    Rose, Madison (East Carolina University, 2023-05-03)
    Breast cancer is a leading cause of cancer death and one of the most common cancers among women. Treatment looks different for every patient due to a variety of factors. One factor that can change a patient’s treatment ...

  • QA4R: A QUESTION ANSWERING SYSTEM FOR R PACKAGES 

    Babu, Ganesh (East Carolina University, 2022-07-26)
    There is a massive amount of data from various sources available today, and querying meaningful information from those datasets would be valuable. Question Answering Systems (QAS) implement information retrieval (IR) and ...

  • TOWARDS A LOW-COST VISION SYSTEM FOR REAL-TIME PAVEMENT CONDITION ASSESSMENT 

    Olufowobi, Kehinde (East Carolina University, 2021-07-22)
    Pavement condition assessment is typically performed through manual inspections and specialized hardware and software. Although advances in camera and sensing technology in the last decade helped propel the automation of ...