The rapid increase in obtainable online text data has made text categorization an important
tool for data analysts to extract relevant information on the web. However, incorrect or …

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive
impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD …

Alzheimer's disease (AD) is a neurodegenerative illness that impairs cognition, function, and
behavior by causing irreversible damage to multiple brain areas, including the …

Background: The most common degenerative condition in older adults is dementia, which
can be predicted using a number of indicators and whose progression can be slowed down …

Abstract Machine learning techniques applied in neuroimaging have prompted researchers
to build models for early diagnosis of brain illnesses such as Alzheimer's disease (AD) …

Alzheimer's disease (AD) is a degenerative neurologic condition that results in the
deterioration of several brain processes (eg memory loss). The most notable physical …

Cervical cancer affects a large portion of the female population, making the prediction of this
disease using Machine Learning (ML) of utmost importance. ML algorithms can be …

Alzheimer's disease (AD) poses a significant healthcare challenge, with an escalating
prevalence and a forecasted surge in affected individuals. The urgency for precise …

Purpose Surface roughness has a serious impact on the fatigue strength, wear resistance
and life of mechanical products. Realizing the evolution of surface quality through theoretical …

In brain-related diseases, including Brain Tumours and Alzheimer's, accurate and timely
diagnosis is crucial for effective medical intervention. Current state-of-the-art (SOTA) …