Abstract Over the years, Machine Learning models have been successfully employed on
neuroimaging data for accurately predicting brain age. Deviations from the healthy brain …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

Alzheimer's disease (AD) is a degenerative disorder that leads to progressive, irreversible
cognitive decline. To obtain an accurate and timely diagnosis and detect AD at an early …

Numerous medical studies have shown that Alzheimer's disease (AD) was present decades
before the clinical diagnosis of dementia. As a result of the development of these studies …

Alzheimer's disease (AD) is a neurodegenerative disease characterized by cognitive and
behavioral impairment that significantly interferes with social and occupational functioning …

High impedance faults caused by vegetation are difficult to detect when covered conductors
in medium voltage overhead power lines are used. Long-term contact of XLPE insulation …

Alzheimer's disease (AD) is an irremediable, irrecoverable brain illness without proper
treatment. Therefore, AD recognition is essential for precluding and dominating its …

Alzheimer's disease (AD) is a chronic disease that affects the elderly. There are many
different types of dementia, but Alzheimer's disease is one of the leading causes of death …

Alzheimer's is a progressive and irreversible brain degenerative disorder, and presenting an
accurate early-stage diagnosis tool is vital for preventing disease progression. The previous …

Brain age in neuroimaging has emerged over the last decade and reflects the estimated age
based on the brain MRI scan from a person. As a person ages, their brain structure will …