The N-body problem is a remarkable research topic in physics. We propose a new feature
extraction model inspired by the N-body trajectory and test its feature extraction capability. In …

Accurate diagnosis of dementia subtypes is crucial for optimizing treatment planning and
enhancing caregiving strategies. To date, the accuracy of classifying Alzheimer's disease …

Resting-state EEG records brain activity when awake but not engaged in tasks, analyzing
frequency bands linked to cognitive states. Recent studies on Alzheimer's disease (AD) and …

Background: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are both
progressive neurological disorders that affect the elderly. Distinguishing between individuals …

This study introduces Multi-Threshold Recurrence Rate Plots (MTRRP), a novel
methodology for analyzing dynamic patterns in complex systems, such as those influenced …

In this study, the evaluation of classification models with frequency and chaotic features was
aimed for the classification of healthy individuals and Alzheimer's patients using EEG …

Electroencephalography-based microstates, characterised as quasi-stable states of mental
activation, encapsulate the spatio-temporal dynamics of brain signals. They are …