Feedback on cognitive workload may reduce decision-making mistakes. Machine learning-
based models can produce feedback from physiological data such as …

Transformers have dominated the landscape of Natural Language Processing (NLP) and
revolutionalized generative AI applications. Vision Transformers (VT) have recently become …

In recent times, the Visual Transformer (VT) has emerged as a powerful alternative to the
conventional Convolutional Neural Networks (CNNs) for their superior attention mechanism …

Abstract Alzheimer's disease (AD), characterized by progressive neurological degeneration
and cognitive decline, necessitates early detection for effective intervention before symptom …

Introduction Alzheimer's disease (AD) is a progressive neurodegenerative disorder
characterized by cognitive decline, memory loss, and impaired daily functioning. Despite …

One of the most prevalent disorders relating to neurodegenerative conditions and dementia
is Alzheimer's disease (AD). In the age group 65 and older, the prevalence of Alzheimer's …

Alzheimer's disease (AD) is a progressive, incurable condition leading to decline of nerve
cells and cognitive functions over time. Early detection is essential for improving quality of …

Alzheimer's disease (AD) is a neurodegenerative condition characterized by cognitive
decline and functional impairment. This study compares conventional intervention …

The integration of artificial intelligence (AI), genetic screening, and neuroimaging heralds a
revolutionary advance in the diagnosis and understanding of brain diseases. This review …