In this paper, we address the problem of identifying brain haemorrhage which is considered
as a tedious task for radiologists, especially in the early stages of the haemorrhage. The …

Epilepsy is one of the chronic neurological disorders that is characterized by a sudden burst
of excess electricity in the brain. This abnormality appears as a seizure, the detection of …

Sign language is a natural, visually oriented and non-verbal communication channel
between people that facilitates communication through facial/bodily expressions, postures …

Currently, over a billion people, including children (or about 15% of the world's population),
are estimated to be living with disability, and this figure is going to increase to beyond two …

This paper proposes a Convolutional Neural Networks (CNN) based model for the diagnosis
of COVID‐19 and non‐COVID‐19 viral pneumonia diseases. These diseases affect and …

In the paper, a vision-based vehicle identification system is proposed for autonomous
intelligent car driving. The accurate detection of obstacles (vehicles) during intelligent car …

This study presents the design of an intelligent system based on deep learning for grading
fruits. For this purpose, the recent residual learning‐based network “ResNet‐50” is designed …

In this study, we propose a vision-based mouse controller capable of controlling objects from
a distant location via hand gestures. The proposed hybrid model constitutes hand detection …

This paper presents a Sign Language translation model using Convolutional Neural
Networks (CNN). A sign language is a language which allows mute and hearing-impaired …

Assistive technology can help people with disabilities to use computers more effectively and
can enable them to access the same information and resources as people without …