Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …

The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Epileptic seizure (ES) detection is an active research area, that aims at patient-specific ES
detection with high accuracy from electroencephalogram (EEG) signals. The early detection …

Abstract Chronic Kidney Disease (CKD) poses significant health risks, particularly for elderly
and middle-aged individuals, leading to gradual kidney damage and reduced renal function …

Pedagogical agent is a software agent that provides guidance, feedback, or intervention to
learners in digital environments. It has the potential to address issues in computer-based …

The aftermath of primary cancer treatment presents a multitude of challenges for patients,
necessitating prolonged recovery periods that can span months or even years. Survivors …

The detection of varied hand gestures in heterogeneous settings plays a crucial role in
enhancing human-computer interaction. Leveraging the YOLO-V4 model for object detection …

Diabetic retinopathy (DR) arises from blood vessel damage and is a leading cause of
blindness on a global scale. Clinical professionals rely on examining fundus images to …

Detecting Parkinson's disease (PD) and other neurodegenerative disorders holds significant
importance for early and automated intervention using non-invasive modalities like EEG …

Neurodegenerative diseases arise from the gradual deterioration of neuronal structure or
function and spans different levels of neuronal circuitry in the brain, ranging from molecular …