Embedded implementation of an obstacle detection system for blind and visually impaired persons' assistance navigation
AB Atitallah, Y Said, MAB Atitallah, M Albekairi… - Computers and …, 2023 - Elsevier
Abstract Blind and Visually Impaired (BVI) persons encounter safety problems during their
navigation. Therefore, assisting BVI must be addressed. Obstacle detection and avoidance …
navigation. Therefore, assisting BVI must be addressed. Obstacle detection and avoidance …
[HTML][HTML] Detecting phishing websites through improving convolutional neural networks with Self-Attention mechanism
Y Said, AA Alsheikhy, H Lahza, T Shawly - Ain Shams Engineering Journal, 2024 - Elsevier
Emerging technologies have made internet connection a vital activity facilitating access to
many services. However, internet connection raises many security concerns, such as …
many services. However, internet connection raises many security concerns, such as …
Indoor Signs Detection for Visually Impaired People: Navigation Assistance Based on a Lightweight Anchor-Free Object Detector
Facilitating the navigation of visually impaired people in indoor environments requires
detecting indicating signs and informing them. In this paper, we proposed an indoor sign …
detecting indicating signs and informing them. In this paper, we proposed an indoor sign …
An indoor scene recognition system based on deep learning evolutionary algorithms
Blind and visually impaired (BVI) face various problems during their navigation. Being
unable to rely on sight greatly restricts their capacity to learn information about their …
unable to rely on sight greatly restricts their capacity to learn information about their …
COVID-19 Disease Detection Using Deep Learning Techniques in CT Scan Images
Since the end of 2019, the whole world is still facing a big damage caused by the COVID-19
pandemic. There is an increasing need to build new robust systems used to recognize …
pandemic. There is an increasing need to build new robust systems used to recognize …
A transfer learning approach for smart home application based on evolutionary algorithms
Building new systems used for indoor sign recognition and indoor wayfinding assistance
navigation, especially for blind and visually impaired persons, presents a very important …
navigation, especially for blind and visually impaired persons, presents a very important …
Implementing Anchor Free Model for Social Distancing Detection on FPGA Board
R Ayachi, M Afif, AB Abdelali - Information Fusion Research, 2024 - ojs.as-pub.com
Since 2019, the world has known a global pandemic caused by the COVID-19 virus. The
epidemic was spreading very fast and many precautions should be respected to fight the …
epidemic was spreading very fast and many precautions should be respected to fight the …
Traffic Sign Detection for Green Smart Public Transportation Vehicles Based on Light Neural Network Model
R Ayachi, M Afif, Y Said, AB Abdelali - … Intelligence Techniques for Green …, 2022 - Springer
Aiming to rise the security degree and the safety level of drivers, vehicles, and pedestrians, a
traffic sign detection system is proposed in this work based on deep learning technologies …
traffic sign detection system is proposed in this work based on deep learning technologies …
Deep Embedded Lightweight CNN Network for Indoor Objects Detection on FPGA
Abstract indoor objects detection and recognition present an active research axis in
computer vision and artificial intelligence fields. Various deep learning-based techniques …
computer vision and artificial intelligence fields. Various deep learning-based techniques …
Utility Evaluation Model of Subway Transfer Guidance Signs Based on Eye-Movement Entropy
Y Fang, J Zhong, W Wei, H Hu, Y Hao, Z Liu - Available at SSRN 4258168 - papers.ssrn.com
During the pedestrian transfer process, the subway transfer guidance signs are responsible
for the critical functions of route judgment and spatial location conversion. There are …
for the critical functions of route judgment and spatial location conversion. There are …