Now showing items 1-10 of 10

  • AN INVESTIGATION OF VELOPHARYNGEAL CLOSURE WITH LINEAR REGRESSION 

    Sana, Anish (East Carolina University, 1/13/16)
    Cleft lip and palate is a common birth defect in the United States. Children diagnosed with this abnormality face difficulties during feeding, hearing and speech. Surgical methods exist to repair the cleft lip and palate ...
  • CUSTOMER REVENUE PREDICTION FROM GEOGRAPHICAL DATA 

    Khademorezaian, Kasra (East Carolina University, 2019-07-22)
    Online stores have created more opportunities for firms to offer different products and services to their customers. These online stores produce a tremendous amount of data that serve different purposes, including revenue ...
  • CUSTOMER REVIEWS ANALYSIS WITH DEEP NEURAL NETWORKS FOR E-COMMERCE RECOMMENDER SYSTEMS 

    Maleki Shoja, Babak (East Carolina University, 2019-07-17)
    The first part of this thesis systematically reviews the trend of researches conducted from 2011 to 2018 in terms of challenges and problems regarding developing a recommendation system, areas of application, proposed ...
  • DYNAMIC DEFENSES AND THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES 

    Thomas, Sam (East Carolina University, 2019-05-02)
    Adversarial machine learning has been an important area of study for the securing of machine learning systems. However, for every defense that is made to protect these artificial learners, a more sophisticated attack emerges ...
  • INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM 

    Prateek, Prerna (East Carolina University, 2016-08-29)
    Online shopping has developed in parallel with the Internet, and Recommendation Systems have played a pivotal role in its growth. The recommendations are usually provided in two ways: Content-based Filtering and Collaborative ...
  • Intrusion detection using machine learning algorithms 

    Lakshminarayana, Deepthi Hassan (East Carolina University, 2019-11-27)
    With the growing rate of cyber-attacks, there is a significant need for intrusion detection systems (IDS) in networked environments. As intrusion tactics become more sophisticated and more challenging to detect, this ...
  • MACHINE LEARNING BASED MEDICAL INFORMATION RETRIEVAL SYSTEMS 

    Gudivada, Akhil (East Carolina University, 2019-04-23)
    As many fields progress with the assistance of cognitive computing, the field of health care is also adapting, providing many benefits to all users. However, advancements in this area are hindered by several challenges ...
  • Modeling and Prediction of Cryptocurrency Prices Using Machine Learning Techniques 

    Ashayer, Alireza (East Carolina University, 2019-05-01)
    With the introduction of Bitcoin in the year 2008 as the first practical decentralized cryptocurrency, the interest in cryptocurrencies and their underlying technology, Blockchain, has skyrocketed. Their promise of security, ...
  • Personality assessment from social media data: An ensemble model 

    Taghikhani, Shahin (East Carolina University, 2019-05-01)
    The global prevalence of social media encourages people to upload and share a vast and recurrent amount of information about themselves through various mediums of communication such as text, pictures, audio, and video. ...
  • Using Synchronized Audio Mapping to Predict Velar and Pharyngeal Wall Locations during Dynamic MRI Sequences 

    Rahimian, Pooya (East Carolina University, 2013)
    Automatic tongue, velum (i.e., soft palate), and pharyngeal movement tracking systems provide a significant benefit for the analysis of dynamic speech movements. Studies have been conducted using ultrasound, x-ray, and ...