The Internet of Things (IoT) is seen as the most viable solution for real-time monitoring
applications. But the faults occurring at the perception layer are prone to misleading the data …

The generation of a huge volume of structured, semi-structured and unstructured real-time
health monitoring data and its storage in the form of electronic health records (EHRs) need …

Advances in machine vision systems have revolutionized applications such as autonomous
driving, robotic navigation, and augmented reality. Despite substantial progress, challenges …

It is known that manually detecting heart conditions is often costly and time-consuming and
any study regarding diagnose these conditions has a great importance. In this study, a …

Hyperparameter optimization is a critical step in the development and fine‐tuning of
machine learning (ML) models. Metaheuristic optimization techniques have gained …

In recent years, the healthcare data system has expanded rapidly, allowing for the
identification of important health trends and facilitating targeted preventative care. Heart …

A movie recommendation system functions as a specialized information system, providing
users with personalized suggestions aligned with their movie preferences. Employing …

Heart disease ranks among the most prevalent diseases globally. This study aims to
improve heart disease diagnosis by utilizing a fuzzy support vector machine (SVM) …

Introduction Many transformations and uncertainties, such as the fourth industrial revolution
and pandemics, have propelled healthcare acceptance and deployment of health …

This study explores the development and application of machine learning (ML) metamodels
for the thermo-mechanical analysis of Friction Stir Welding (FSW). The main objective is to …