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Now showing items 11-16 of 16
INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM
(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 ...
AN INVESTIGATION OF VELOPHARYNGEAL CLOSURE WITH LINEAR REGRESSION
(East Carolina University, 1/13/16)
Cleft lip and palate is a common birth defect in the United States. Children diagnosed with this abnormality face difficulties during feeding, hearing and speech. Surgical methods exist to repair the cleft lip and palate ...
Performance analysis of machine learning algorithms to predict mobile applications' star ratings via its user interface features
(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 ...
Applied Machine Learning for Cybersecurity in Spam Filtering and Malware Detection
(East Carolina University, 2020-11-17)
Machine learning is one of the fastest-growing fields and its application to cybersecurity is increasing. In order to protect people from malicious attacks, several machine learning algorithms have been used to predict the ...
An Empirical Exploration of Python Machine Learning API Usage
(East Carolina University, 2020-11-16)
Machine learning is becoming an increasingly important part of many domains, both inside and outside of computer science. With this has come an increase in developers learning to write machine learning applications in ...
Software Engineering for Real-Time NoSQL Systems-centric Big Data Analytics
(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 ...