Twin support vector machine (TWSVM) and twin support vector regression (TSVR) are newly
emerging efficient machine learning techniques which offer promising solutions for …

There is an increasing role for biological markers (biomarkers) in the understanding and
diagnosis of neurodegenerative disorders. The application of imaging biomarkers …

The aim of this work is to develop a Computer-Aided-Brain-Diagnosis (CABD) system that
can determine if a brain scan shows signs of Alzheimer's disease. The method utilizes …

Alzheimer's disease (AD) is a progressive brain disease. The goal of this study is to provide
a new computer-vision based technique to detect it in an efficient way. The brain-imaging …

Alzheimer's disease effects human brain cells and results in dementia. The gradual
deterioration of the brain cells results in disability of performing daily routine tasks. The …

Emotion recognition represents the position and motion of facial muscles. It contributes
significantly in many fields. Current approaches have not obtained good results. This paper …

Alzheimer's Disease (AD) is a devastating neurodegenerative brain disorder with no cure.
An early identification helps patients with AD sustain a normal living. We have outlined …

Background Mild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …

The origin of dementia can be largely attributed to Alzheimer's disease (AD). The
progressive nature of AD causes the brain cell deterioration that eventfully leads to physical …

Alzheimer's Disease (AD) is the most common form of dementia. It gradually increases from
mild stage to severe, affecting the ability to perform common daily tasks without assistance. It …