Control charts (CCs) are one of the most effective tools for tracking variations and stability
over time and are widely used generally in manufacturing to monitor and control process' …

This study focuses on implementing a quality framework to improve patient quality and
safety in healthcare. Evaluating the performance of healthcare services, especially under …

Cybersecurity, particularly phishing detection, is an evolving field requiring dynamic and
adaptive solutions. This study explored the efficacy of integrating supervised and …

The ratio of two normal variables and compositional Data (CoDa) are two common types of
process data in industrial and manufacturing applications. Control charts are powerful tools …

This study presents a comprehensive exploration of machine learning (ML) techniques for
predicting vulnerabilities in websites, which is a critical aspect of modern cybersecurity. With …

Current developments in cloud services, artificial intelligence (AI), and the Internet of Things
(IoT) have transformed the traditional healthcare system into smart healthcare. Improved …

The study comes up with a new way to improve the accuracy of image matching in binocular
vision systems, especially those that are mounted on vehicles. It combines machine learning …