In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …

Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …

This study presents a comprehensive analysis of the existing techniques and applications of
artificial intelligence (AI) to cardiovascular disease diagnosis. The application of AI to the …

The present study examines the role of feature selection methods in optimizing machine
learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with …

Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …

Cardiovascular disease is the primary reason for mortality worldwide, responsible for around
a third of all deaths. To assist medical professionals in quickly identifying and diagnosing …

As the population grows, industry and agriculture have also developed and water resources
require quantitative and qualitative management. Currently, the management of water …

Purpose As a main etiology of myocardial ischemia, coronary microvascular dysfunction
(CMD) can occur in patients with or without obstructive coronary artery disease. Currently …

Convolutional neural networks (CNN) have transformed the field of computer vision by
enabling the automatic extraction of features, obviating the need for manual feature …

Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and
young adults. Due to crowded context, inter-class similarity, inter-class variation, and noise …