[PDF][PDF] Intelligent Gesture Recognition System for Deaf People by using CNN and IoT.

A Abualkishik, W Alzyadat, M Al Share… - … Journal of Advances …, 2023 - researchgate.net
Communication with the hearing impaired is a great challenge in the society today. Sign
language is a significant communication method between deaf persons and their societies …

[PDF][PDF] Fake Face Detection Based on Colour Textual Analysis Using Deep Convolutional Neural Network

W Alkishri, S Widyarto, JH Yousif, M Al-Bahri - J Internet ServnInf Secur, 2023 - jisis.org
Detecting fake faces has become a crucial endeavour within the realm of computer vision.
The widespread availability of digital media has facilitated the creation and dissemination of …

Driver Facial Detection Across Diverse Road Conditions

S Shofiah, E Sediyono, ZA Hasibuan… - ILKOM Jurnal …, 2024 - jurnal.fikom.umi.ac.id
This study emphasizes the importance of facial detection for improving road safety through
driver behavior analysis. Its employs quantitative methodology to underscore the importance …

Machine Learning-Based System for Detecting and Tracking Driver Drowsiness

SV Priya, S Bhuvaneshwari - 2023 9th International …, 2023 - ieeexplore.ieee.org
Drivers who aren't paying attention or staying attentive are to blame for many accidents
occurring on the world's roads nowadays. The phrase for this condition is" driver …

Design of the Adaptive Belief Rule Based Inference System for Driver Drowsiness Detection

CL Feng, YT Su, THS Li - … Conference on Fuzzy Theory and Its …, 2024 - ieeexplore.ieee.org
This research focuses on detecting driver fatigue in real-time. Driver drowsiness is a serious
issue that often leads to traffic accidents, making it a particularly hazardous concern …

[PDF][PDF] Real-time Driver Drowsiness Detection Using Deep Neural Networks

D Halim, M Hanafy, Y Lotfy, M Deif… - International Integrated …, 2024 - iiis.journals.ekb.eg
This paper presents a driver drowsiness detection for accident prevention which is based on
the curvature of the eye. Our attempt is to develop a deep learning model that can use the …

Driver drowsiness detection using Convolutional Neural Networks-inspired features and Principal component analysis with K-Nearest Neighbors

MA Panganai, LK Nyandoro… - 2022 1st Zimbabwe …, 2022 - ieeexplore.ieee.org
Drowsiness and fatigue are the major reasons for triggering serious and severe road
crashes in Zimbabwe and the whole world at large. The developments in technology in …

Empowering the Future: Digital Twins and Connectivity in Smart City Development

A Abualkishik, M Alshar'e, A Kayed… - … Enabled Technology for … - taylorfrancis.com
There are now discussions over a “smart city” concept that relies on advanced technology
and data-driven strategies for improving the living standards of people in urban areas …

Driver drowsiness detection using Convolution Neural Network (CNN)

S Girde, R Roychaudhary… - … Innovations & Applications …, 2025 - taylorfrancis.com
Imagine a world where technology is able to prevent accidents caused by drowsy driving.
Drowsy Driver Detection system use advanced radiation to monitor driver's behavior, like …

[PDF][PDF] A pre-Tranind Model for Driver Drowsiness Detection

A Ahmed - 2023 - easychair.org
Drowsiness is among the important factors that cause traffic accidents; therefore, a
monitoring system is necessary to detect the state of a driver's drowsiness. Driver monitoring …