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    AuthorAshayer, Alireza (1)Gudivada, Akhil (1)Khademorezaian, Kasra (1)Khanal, Rabindra (1)Lakshminarayana, Deepthi Hassan (1)Locklear, Trina Kay (1)Maleki Shoja, Babak (1)Pala, Venkatesh Reddy (1)Patel, Himaniben P (1)Patel, Vishwa (1)... View MoreSubjectMachine learning (7)Big data (2)Blockchains (Databases) (2)deep learning (2)adversarial machine learning (1)algorithms (1)Archival Document Processing (1)Archival materials--Digitization (1)autoencoder (1)Automatic abstracting (1)... View MoreDate Issued
    2019 (12)
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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. ...
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    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, ...
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    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 ...
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