Effective management of dementia requires the timely detection of mild cognitive impairment
(MCI). This paper introduces a multi-objective optimization approach for selecting EEG …

Alzheimer's disease (AD) is the most prevalent clinically diagnosed neurodegenerative
disorder. Early detection of mild cognitive impairment (MCI) is crucial for implementing …

In recent years, electroencephalography (EEG) has been investigated for identifying brain
disorders. This technique involves placing multiple electrodes (channels) on the scalp to …

Pipeline leakage detection is an important measure to ensure the national economy and
public safety. This paper aims to develop an adaptive denoising method to achieve leakage …

Mild cognitive impairment (MCI) is the earliest stage of dementia, and its detection is crucial
for disease management. Electroencephalography (EEG) has gained popularity as a tool for …

The classification performance of endogenous electroencephalogram (EEG) brain-computer
interfaces (BCIs) can be improved by hybridizing the paradigm through the use of …

Detection of underground natural gas pipeline micro-leakage based on unmanned aerial
vehicle (UAV) hyperspectral remote sensing and GIS. Hyperspectral images can indirectly …

Objective. Cognitive overload, as an overload state of cognitive workload, negatively
impacts individuals' task performance and mental health. Cognitive overload assessment …

We must detect depression patterns early and accurately to provide timely interventions and
assistance. We present a novel depression prediction method (depressive-deep), which …

The global incidence of Alzheimer's Disease (AD) is on a swift rise. The
Electroencephalogram (EEG) signals is an effective tool for the identification of AD and its …