Now showing items 51-70 of 94

  • miRCancer : a microRNA-Cancer Association Database and Toolkit Based on Text Mining 

    Xie, Boya (East Carolina University, 2010)
    MicroRNAs (miRNAs) are a class of single-stranded small non-coding RNAs. Study of miRNAs has been a fast growing field since the first miRNA was discovered in 1993. Many findings indicate that miRNA plays an important role ...
  • miRDiabetes : A microRNA-Diabetes Association Database Constructed With Data Mining on Literature 

    Guo, Hui (East Carolina University, 2014)
    MicroRNAs (miRNAs) are a growing class of non-coding RNAs that regulate gene expression by translational repression. A role for miRNA in diabetes was first established in 2004 and research in miRNA-diabetes association has ...
  • Modeling and Analysis of SQL Queries in PHP Systems 

    Anderson, David (East Carolina University, 2018-04-19)
    PHP is a common language used for creating dynamic websites. These websites often include the use of databases to store data, with embedded SQL queries constructed within the PHP code and executed through the use of database ...
  • 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, ...
  • Modeling and Testing of Aspect-Oriented Systems 

    Jiang, Wenhuan (East Carolina University, 2011)
    Aspect-Oriented programming modularizes crosscutting concerns into Aspects, which are automatically weaved to the specified points of a program. Although Aspect-Oriented programming improves program maintainability and the ...
  • Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images 

    Adeli, Hossein (East Carolina University, 2012)
    In this thesis we consider the problem of automatically generating textual descriptions of images which is useful in many applications. For example, searching and retrieving visual data in overwhelming number of images and ...
  • 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 ...
  • MRSL: AUTONOMOUS NEURAL NETWORK-BASED SELF-STABILIZING SYSTEM 

    Hedayati, Hooman (East Carolina University, 2015-12-15)
    Stabilizing and localizing the positioning systems autonomously in the areas without GPS accessibility is a difficult task. In this thesis we describe a methodology called Most Reliable Straight Line (MRSL) for stabilizing ...
  • 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, ...
  • Optimization of Web Services for Cloud Deployment and Mobile Consumption 

    Bleicher, David (East Carolina University, 2013)
    Research performed for this thesis indicates an impedance mismatch between prevailing approaches to development of service-oriented enterprise applications and the consumption capabilities of mobile devices. The rich ...
  • Overhauling Legacy Enterprise Software Applications with a Concept Refinement Process Model 

    Knight, Daniel P. (East Carolina University, 2013)
    Currently, there are many legacy enterprise software applications in active deployment that are outdated. These large legacy applications are rapidly becoming less practical for both the organizations they service, and for ...
  • 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. ...
  • 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 ...
  • A Protocol and Tool for Developing a Descriptive Behavioral Model 

    Jeck, Steven (East Carolina University, 2012)
    Fuzzy rules have been used to model complex human behavior in order to develop sophisticated industrial control systems. The use of fuzzy rules to create a behavioral model provides a quantitative basis for discussing the ...
  • QPE: A System For Deconstructing SQL Queries 

    Bullard, Connor D (East Carolina University, 2023-04-26)
    Research on the topic of converting natural language to machine-readable code has experienced great interest over the last decade, however studies into converting machine-readable code into natural language are sparse. The ...
  • Recurrence and Plasticity in Evolved Neural Controllers 

    Ahlstrom, Mark (East Carolina University, 2009)
    Among the more important applications of evolutionary neurocontrollers is the development of systems that are able to dynamically adapt to a changing environment. While traditional approaches to control system design demand ...
  • Risk Considerations in the Use of Unmanned Aerial Vehicles in the Construction Industry 

    Wang, George; Hollar, Donna; Sayger, Susan; Zhu, Zhen; Buckeridge, John S.; Li, Jie; Chong, Jimmy; Duffield, Colin; Ryu, Dongryeol; Hu, Wei (2016-12)
    The use of unmanned aerial vehicles (UAVs) in the construction industry is swiftly growing worldwide. UAVs are changing the way construction companies do business. Contractors are increasingly using camera-mounted UAVs ...
  • Runtime Monitoring On Hard Real-Time Operating Systems 

    Darafsheh, Kaveh (East Carolina University, 2015)
    This thesis will compare and evaluate different approaches in integrating runtime monitors into processes running on a hard real-time operating system. The host system is a single board computer (SBC) with a VxWorks 653 ...