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Applying Mutable Object Snapshots to a High-level Object-Oriented Language
(East Carolina University, 2018-11-30)
Software Engineers are familiar with mutable and immutable object state. Mutable objects shared across modules may lead to unexpected results as changes to the object in one module are visible to other modules sharing the ...
Software Technology Maturation and Software Security
(East Carolina University, 2019-08-05)
Software technology maturation, also referred to as technology transfer, is as difficult as it is rare, mostly because of the time scale involved. Software maturation is defined as the process of taking a piece of technology ...
Archival Document Processing using Cognitive Computing
(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
(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
(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 ...
TEXT EXTRACTION FROM IMAGES USING NEURAL NETWORKS
(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 ...
CUSTOMER REVIEWS ANALYSIS WITH DEEP NEURAL NETWORKS FOR E-COMMERCE RECOMMENDER SYSTEMS
(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 ...
Intrusion detection using machine learning algorithms
(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 ...