Now showing items 1-20 of 23

  • A Dynamic Power Management Schema for Multi-Tier Data Centers 

    Azimzadeh, Aryan (East Carolina University, 2016-04-25)
    An issue of great concern as it relates to global warming is power consumption and efficient use of computers especially in large data centers. Data centers have an important role in IT infrastructures because of their ...
  • Archival Document Processing using Cognitive Computing 

    Patel, Himaniben P (East Carolina University, 2019-07-22)
    The world, as we know it, is constructed in the form of knowledge. Our ancestors have passed their experiences to the next generation over time using handwritten documents. Although these old manuscripts are still available ...
  • Automated Usability Evaluations using Client Side Usability Framework (CSUF) 

    Chintalapani, Venkat Narsimha Reddy (East Carolina University, 2016-05-04)
    Usability of a website is essential in order for a company to achieve its business goals. Evaluating a website for usability and accessibility is costly and time consuming primarily because it involves usability experts ...
  • 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 ...
  • DEVELOPING A REAL-TIME DATA ANALYTICS FRAMEWORK FOR TWITTER STREAMING DATA 

    Yadranjiaghdam, Babak (East Carolina University, 2016-12-13)
    Twitter is an online social networking service with more than 300 million users, generating a huge amount of information every day. Twitter's most important characteristic is its ability for users to tweet about events, ...
  • 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 ...
  • ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS 

    Butler, Rhonda R (East Carolina University, 2020-06-22)
    Two issues continually plaguing the software industry are software size calculation and project effort estimation. Incorrect estimates may lead to inappropriate allocation of resources (people), shortage of time, insufficient ...
  • FRAMEWORK FOR BLOCKCHAIN BASED DECENTRALIZED ECOMMERCE APPLICATION USING SMART CONTRACTS 

    Kulkarni, Sumati (East Carolina University, 2020-06-22)
    There is a lot of excitement around Blockchain technology and its ability to disrupt many traditional industries and business practices. First invented as a part of Bitcoin’s underlying infrastructure, Blockchain technology ...
  • 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 ...
  • INVESTIGATING THE STAR SCHEMA BENCHMARK AS A REPLACEMENT FOR THE TPC-H DECISION SUPPORT SYSTEM 

    Sanchez, Jimi Carmen (East Carolina University, 2016-12-13)
    Decision Support System (DSS) are at the core of business intelligence systems. Implementation costs for enterprise level Database Management System (DBMS) and DSS average $10,461 for installation costs. This does not ...
  • 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, ...
  • Motion-Based Segmentation of Medical MRI Images: A Review and Analysis 

    Adhikari, Anil (East Carolina University, 2018-07-20)
    Image data produced in medical field assists doctors, surgeons and researchers to study muscle and tissue structure to identify and diagnose patient specific diseases and deficiency. Due to the complexity of muscle ...
  • Performance Analysis of Extractive Text Summarization 

    Patel, Vishwa (East Carolina University, 2019-07-22)
    In this era, data is increasing exponentially, and it is crucial for people to keep up with all of this information. The information is available in several different forms such as news articles, online blogs, etc., many ...
  • Performance analysis of machine learning algorithms to predict mobile applications' star ratings via its user interface features 

    Navaei, Maryam (East Carolina University, 2022-05-05)
    The first part of this thesis concludes with an overall summary of the publications so far on the applied Machine Learning techniques in different phases of the Software Development Life Cycle that including Requirements ...
  • 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. ...
  • Software Technology Maturation and Software Security 

    Locklear, Trina Kay (East Carolina University, 2019-08-05)
    Software technology maturation, also referred to as technology transfer, is as difficult as it is rare, mostly because of the time scale involved. Software maturation is defined as the process of taking a piece of technology ...
  • SYSTEMATIC REVIEW OF LITERATURE USING TWITTER AS A TOOL 

    Pradyumn, Mudit (East Carolina University, 2018-07-17)
    Twitter has over 330 million active monthly users producing roughly 500 million Tweets per day, or 200 billion Tweets a year. Making this one of the largest human-generated opinion data collections. In addition to this ...