Abstract: This study aims to classify brainwave patterns using electroencephalogram (EEG) signals in response to various auditory stimuli, specifically Quran recitation, participants’ favorite music, ...

ABSTRACT: Social communication, behavior, and sensory processing difficulties characterize the complicated neurodevelopmental disorder known as autism spectrum disorder (ASD). For impacted children, ...

Abstract: This letter proposes an advanced convolutional neural network (CNN)-based classifier for detecting the contamination level of in-service insulator strings. The goal is to enhance condition ...

Abstract: Due to the increased use of social networks, word-of-mouth analysis has become an effective tool in market research since firms can determine the users’ attitudes toward their brands.

Abstract: The field of information fusion and deep learning (DL) has advanced significantly in recent years, enabling computers and other devices to perceive, recognize, and evaluate emotions. In ...

This project is a Convolutional Neural Network (CNN)-based image classifier designed to distinguish between images of cats and dogs. It includes a complete training pipeline and a Flask-based web ...

Abstract: As Deep Learning (DL) algorithms become more widely adopted in healthcare applications, there is a greater emphasis on understanding and addressing potential privacy risks associated with ...

Abstract: ECG is an essential diagnostic tool that offers important insight into a person's cardiac and general health. The rise of intelligent wearable devices has opened a new avenue for clinicians ...

Abstract: Humans adjust their lower limb control strategies based on the terrain they are walking on. This principle also applies to users of robotic orthoses or prostheses. However, currently ...