In the aging global society, heart failure and valvular heart diseases, including aortic
stenosis, are affecting millions of people and healthcare systems worldwide. Although the …

The numerical investigation of magneto-hydrodynamic (MHD) mixed convection flow and
entropy formation of non-Newtonian Bingham fluid in a lid-driven wavy square cavity filled …

Industrialization and urbanization contribute significantly to environmental pollution,
particularly in water bodies. The consequences of this pollution are dire, impacting both the …

Phonocardiogram signal (PCG) has been the subject of several signal processing studies,
where researchers applied various analysis techniques and extracted numerous features for …

Healthcare technology has advanced with the development of an IoT-based real-time
monitoring system for post-operative heart disease patients. This system integrates …

This research study aims to develop an algorithm using phonocardiograms and Deep
learning to differentiate between normal and abnormal heart sounds. The increase in …

In our research, Calories burnt prediction, we aimed to utilize machine learning to predict
calories burnt. The process involves processing the dataset, which contains information …

Heart disease, a prevalent cardiovascular condition, poses significant health risks and
affects millions worldwide. The alarming rise in heart disease cases in recent years …

The phonocardiogram (PCG) signal is sometimes affected by added parameters that reflect
the presence of a specific pathology. The intensity or the energy of the signal is one of the …