Now showing items 1-20 of 86

    • IMPLEMENTATION OF BERT BASED MACHINE LEARNING MODEL TO EXTRACT CANCER –MIRNA RELATIONSHIP FROM RESEARCH LITERATURE 

      Sundharam, Arunprasad (East Carolina University, 2021-04-15)
      In the world today, text mining is a widely popular and growing branch of Information technology, in which we extract useful information out of the given pile of text data. There are thousands of research papers in medical ...
    • Tactile Demographics: Predicting Demographic Information Using Touch Data from Mobile Devices 

      Williams, Baylea (East Carolina University, 2021-04-20)
      The research conducted in this thesis was to serve as a baseline on which human demographics are most likely to be able to be predicted through touch screen interactions. In addition, it served as a way of finding which ...
    • Auto-Count Symbols in Portable Document Format (PDF) 

      Florian, Andrew (2021-04-22)
      Estimating electrical costs often involves counting symbols in a PDF document. Existing software has sped up this process compared to manual counting, but there is room for further improvement. The proposed solution ...
    • Developing Concept Enriched Models for Big Data Processing Within the Medical Domain 

      Gudivada, Akhil; Tabrizi, Nasseh; Philips, James (2020-07)
      Within the past few years, the medical domain has endeavored to incorporate artificial intelligence, including cognitive computing tools, to develop enriched models for processing and synthesizing knowledge from Big Data. ...
    • A FRAMEWORK FOR AUTOMATICALLY GENERATING QUESTIONS FOR TOPICS IN DISCRETE MATHEMATICS 

      Houshvand, Salar (East Carolina University, 2020-11-17)
      Automated question generation is critical for realizing personalized learning. Also, learning research shows that answering questions is a more effective method than rereading the textbook multiple times. However, creating ...
    • Software Engineering for Real-Time NoSQL Systems-centric Big Data Analytics 

      Clark, William F (East Carolina University, 2020-12-02)
      Recent advances in Big Data Analytics (BDA) have stimulated widespread interest to integrate BDA capabilities into all aspects of a business. Before these advances, companies have spent time optimizing the software ...
    • Studies on Gopala-Hemachandra Codes and their Applications 

      Childers, Logan (East Carolina University, 2020-11-16)
      Gopala-Hemachandra codes are a variation of the Fibonacci universal code and have applications in data compression and cryptography. We study a specific parameterization of Gopala-Hemachandra codes and present several ...
    • 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 ...
    • An Empirical Exploration of Python Machine Learning API Usage 

      Vilkomir, Aleksei (East Carolina University, 2020-11-16)
      Machine learning is becoming an increasingly important part of many domains, both inside and outside of computer science. With this has come an increase in developers learning to write machine learning applications in ...
    • A FRAMEWORK FOR QUESTION ANSWERING SYSTEM USING DYNAMIC CO-ATTENTION NETWORKS 

      Busireddy, Swetha (East Carolina University, 2020-06-22)
      Question answering (QA) systems have evolved exponentially over the past few years and have reached a reliable human standard. Attention mechanisms, as well as other methods of deep learning, paved the way for this ...
    • ENVIRONMENTAL MODEL ACCURACY IMPROVEMENT FRAMEWORK USING STATISTICAL TECHNIQUES AND A NOVEL TRAINING APPROACH 

      Matta, Rekesh (East Carolina University, 2020-06-22)
      It is challenging to predict environmental behaviors because of extreme events, such as heatwaves, typhoons, droughts, tsunamis, torrential downpour, wind ramps, or hurricanes. In this thesis, we proposed a novel framework ...
    • 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 ...
    • MVC EDUCATION 3D : A FRAMEWORK FOR DISTANCE EDUCATION VIRTUAL REALITY APPLICATIONS 

      Chegireddy, Yashwanth Reddy (East Carolina University, 2020-06-22)
      Recent advancements in the online course delivery for Distance Education(DE) pro- gram is evolving from day-to-day. Though DE programs cost less and also provide exibility to students depending on their pace of learning, ...
    • 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 ...
    • 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 ...
    • TEXT EXTRACTION FROM IMAGES USING NEURAL NETWORKS 

      Pala, Venkatesh Reddy (East Carolina University, 2019-09-16)
      Most western languages have witnessed the power of Artificial Intelligence (AI) in one other form. Primary fact for this achievement is due to the efforts of several researchers contributing to the field of computational ...
    • POSTGRESQL AS A MULTI-MODEL DATABASE 

      Khanal, Rabindra (East Carolina University, 2019-07-26)
      Data is being generated at unprecedented volume and speed, which is popularly known as Big Data. Most of this data is unstructured and requires natural language processing and information retrieval techniques to extract ...
    • 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 ...
    • 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 ...
    • 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 ...