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

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 …

Facial expression recognition is an intriguing research area that has been explored and
utilized in a wide range of applications such as health, security, and human-computer …

Abstract Context: Artificial Intelligence (AI) in the medical domain has achieved remarkable
results on various metrics primarily due to recent advancements in computational …

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 …

Stress is a condition that causes a specific physiologicsal response. Heart rate variability
(HRV) is a critical aspect in identifying stress. It is crucial for those who want to keep track of …

Understanding human emotion is vital to communicate effectively with others, monitor
patients, analyse behaviour, and keep an eye on those who are vulnerable. Emotion …

Abstract Autism Spectrum Disorder (ASD) refers to a spectrum of conditions characterised
mainly by impairments in social interaction, speech and nonverbal communication, and …

This research presents a comprehensive study on developing and evaluating a deep
learning-based forecasting model for hourly energy demand prediction in Bangladesh …

Abstract First-Trimester Ultrasound scans provide invaluable insight into early pregnancies.
The scan is used to estimate the gestational age by providing a measurement of the Crown …