With the modernization of cities, the concept of the Internet of Things (IoT) is gaining
popularity and becoming a vital source of smart developments. An added advantage of solar …

During the past years, the development of assistive technologies for visually impaired
(VI)/blind people has helped address various challenges in their lives by providing services …

People with special needs like blind and visually impaired (BVI) people can particularly
benefit from using voice assistants providing spoken information input and output in …

In this paper, a software-based neural network is developed for the purpose of detecting
seizures from raw EEG signals. Detecting epileptic seizures manually is a long tedious …

How do deaf and hard of hearing (DHH) individuals use smart assistants (SAs)? Does the
prominent use of voice interfaces in most SAs pose unique challenges for DHH users? In …

In this paper, a software comparative analysis of two neural network models is presented,
namely, Convolutional Neural Network (CNN), and Long Short Term Memory (LSTM) neural …

This paper presents a system that utilizes vision transformers and multimodal feedback
modules to facilitate navigation and collision avoidance for the visually impaired. By …

Blindness and visual impairment are commonly associated with social and functional
limitations, almost 45 million people in the world have blindness, and 135 million have any …

The artificial intelligence (AI) has been a platform of immense assistance to develop and
simplify discoveries in medical science. However, the environmentalist have been …

In this paper a Genetic Algorithm (GA) augmented Convolutional Neural Network (CNN)
procedure has been developed. The proposed approach was implemented in Python and …