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    AuthorTabrizi, Nasseh (3)Gudivada, Akhil (2)He, Yuan (2)Adeli, Hossein (1)Adhikari, Anil (1)Ahlstrom, Mark (1)Ahmadvand, Ali (1)Anderson, David (1)Anderson, James Carold (1)Arbabifard, Kamyar (1)... View MoreSubjectComputer science (31)Machine learning (15)Cloud computing (8)Computer engineering (8)Big data (5)Data mining (5)Programming languages (Electronic computers) (5)Computer security (4)Computer software--Development (4)Application software (3)... View MoreDate Issued2020 - 2022 (17)2010 - 2019 (72)2009 - 2009 (1)Has File(s)
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    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    Currently, there are many legacy enterprise software applications in active deployment that are outdated.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 ...
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    Using n-grams to identify time periods of cultural influence 

    Knight, Gregory P. (East Carolina University, 2012)
    An author's literary style is influenced by the cultural time period in which the author lives. The author's ideas, and the words chosen to express them, can help identify the cultural time period that most influenced the ...
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    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 ...
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    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 ...
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    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 ...
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    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, ...
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    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 ...
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    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 ...
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    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 ...
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    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. ...
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