This study explores new ways to make IoT networks more secure and efficient by using
advanced digital twin technology. The proposed system, named dynamic network resilience …

Magnetic Resonance Imaging (MRI) is a medical imaging method used to visualize the
brain's anatomy, evaluate its function, and identify any abnormalities or disorders without the …

Parkinson Disease (PD) is most common diseases from majority of disease encountered all
over the world, with more than 7 million individuals being affected. PD is a type of …

Purpose This study evaluates machine learning (ML) classifiers for diagnosing Parkinson's
disease (PD) using subcortical brain region data from 3D T1 magnetic resonance imaging …

Around the world, crime is a serious issue that has an impact on many different communities.
Given the rise in criminal behavior, it is essential to anticipate and stop crime before it …

Creating realistic simulations of human-machine interaction through virtual counterparts is a
cutting-edge area of research that involves innovative approaches. This endeavor aims to …

Abstract Background and Objective Parkinson's Disease (PD) is a progressive neurological
disorder caused by the death of dopamine producing neurons. Neuroimaging techniques …

This chapter explores the field of digital twin technologies as an innovative approach to
examine the continuous change in healthcare systems. The utilization of digital twins offers …

The integrated application of quantum computing into bioinformatics and biomedical
research marks a paradigm change in our approach to complicated biological and medical …

Alzheimer's disease (AD) and Parkinson's disease (PD) are debilitating neurological
disorders that significantly impair the quality of life for affected individuals. Early diagnosis …