Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …

The design and development of an automated Parkinson's disease (PD) diagnosis
framework still remains one of the most complex and crucial tasks in the present day. In the …

Human ailments create an impact in altering the significant metabolism activities of the body
irrespective of various parts. Dysarthric speech is commonly known as Parkinson's disease …

Numerous physical and biological systems demonstrate synchronization phenomena. Early
investigations focused on the synchronization of dual pendulum tickers connected by a …

In recent years, the study of machine learning-based speech recognition methods for
Parkinson's disease has become a hot topic in recent years. However, existing related …

Currently, machine learning methods have been utilized to realize the early detection of
Parkinson's disease (PD) by using voice signals. Because the vocal system of each person …

Objective There are two major issues in the MRI image diagnosis task for Parkinson's
disease. Firstly, there are slight differences in MRI images between healthy individuals and …

The most common kind of heart disease is coronary artery disease (CAD), which impacts
millions globally. For CAD detection, the computed tomography (CT) image is very helpful …

A significant global public health concern is the widespread presence of chronic kidney
disease (CKD). High mortality rates are associated with the disease, particularly in …

For many decades, Parkinson's Disease (PD) has been a topic of discussion and research
in the field of neurological disorders. It's one of the most common diseases associated with …