Browsing Master's Theses by Author "Tabrizi, M. H. N"

Now showing items 1-20 of 28

  • 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 ...

  • AN EMPIRICAL STUDY OF CONCURRENT FEATURE USAGE IN GO 

    Tipirneni, Dhana Srimanthini (East Carolina University, 2022-12-05)
    The Go language includes support for running functions or methods concurrently as goroutines, which are lightweight threads managed directly by the Go language runtime. Go is probably best known for the use of a channel-based, ...

  • 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 ...

  • Bibliographic Reference Analysis in Archival Data Using Supervised Machine Learning and Grammatical Features 

    Philips, James Patrick (East Carolina University, 2021-11-19)
    Bibliographic references are integral to scholarly discourse in humanities disciplines. While prior work has focused on reference extraction and parsing, little research has investigated the classification of footnotes ...

  • COMPARISON OF TOPIC MODELING METHODS FOR ANALYZING TWEETS ON COVID-19 VACCINE 

    Khanjari Nezhad Jooneghani, Zeinab (East Carolina University, 2021-07-20)
    Twitter is a microblogging site and a popular social media platform for sharing thoughts on current world events. The dynamic of Twitter discussions makes it a valuable data source for mining people's opinions and emotions ...

  • 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 ...

  • LOOKING TO THE STARS: A HYBRID VOTING APPROACH FOR STAR RATING PREDICTION OF AMAZON CUSTOMER REVIEWS 

    Davis, Storm Pierce (East Carolina University, 2021-07-14)
    Due to the continuous growth of E-Commerce platforms, more and more data is becoming widely available. Almost every online transaction, from buying products on Amazon to renting vacation houses on Airbnb, allows for users ...

  • 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 ...