[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
A systematic literature review on phishing email detection using natural language processing techniques
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …
economy. Phishing attacks are now most often carried out by email. To better comprehend …
A comprehensive survey and taxonomy of sign language research
ESM El-Alfy, H Luqman - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …
a vital role in modern society to communicate and interact with people having hearing …
Identification of epileptic EEG signals using convolutional neural networks
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 …
of excess electricity in the brain. This abnormality appears as a seizure, the detection of …
Machine translation from signed to spoken languages: State of the art and challenges
Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …
domain on the intersection of computer vision, machine translation (MT), and linguistics …
Artificial intelligence for sign language translation–A design science research study
Although our digitalized society is able to foster social inclusion and integration, there are
still numerous communities having unequal opportunities. This is also the case with deaf …
still numerous communities having unequal opportunities. This is also the case with deaf …
A real time Arabic sign language alphabets (ArSLA) recognition model using deep learning architecture
Z Alsaadi, E Alshamani, M Alrehaili, AAD Alrashdi… - Computers, 2022 - mdpi.com
Currently, treating sign language issues and producing high quality solutions has attracted
researchers and practitioners' attention due to the considerable prevalence of hearing …
researchers and practitioners' attention due to the considerable prevalence of hearing …
Recursive feature elimination for improving learning points on hand-sign recognition
Hand gestures and poses allow us to perform non-verbal communication. Sign language is
becoming more important with the increase in the number of deaf and hard-of-hearing …
becoming more important with the increase in the number of deaf and hard-of-hearing …
COVID‐19 and Pneumonia Diagnosis in X‐Ray Images Using Convolutional Neural Networks
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 …
of COVID‐19 and non‐COVID‐19 viral pneumonia diseases. These diseases affect and …
Design of webinar information system for people with hearing impairments
ID Sumitra, E Wirawan, M Putra… - Indonesian Journal of …, 2021 - ejournal.upi.edu
This research aimed to design a webinar platform that can help the deaf understand
information while attending online seminars using sign language interpreter features. That …
information while attending online seminars using sign language interpreter features. That …