S
Samir A. Elsagheer Mohamed
Researcher at Qassim University
Publications - 30
Citations - 679
Samir A. Elsagheer Mohamed is an academic researcher from Qassim University. The author has contributed to research in topics: Network packet & Artificial neural network. The author has an hindex of 11, co-authored 28 publications receiving 616 citations. Previous affiliations of Samir A. Elsagheer Mohamed include Aswan University & French Institute for Research in Computer Science and Automation.
Papers
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Journal ArticleDOI
A study of real-time packet video quality using random neural networks
TL;DR: A significant enhancement of the method by means of a new neural approach, the random NN model, and its learning algorithm are reported on, both of which offer better performances for the application.
Journal ArticleDOI
Performance evaluation of real-time speech through a packet network: a random neural networks-based approach
TL;DR: This paper addresses the problem of quantitatively evaluating the quality of a speech stream transported over the Internet as perceived by the end-user by using G-networks as Neural Networks to learn how humans react vis-a-vis a speech signal that has been distorted by encoding and transmission impairments.
Proceedings ArticleDOI
Integrating networks measurements and speech quality subjective scores for control purposes
TL;DR: This work builds a neural network based automaton to measure speech quality in real time, at the style of a group of human subjects when participating in an MOS test, and outlines a control mechanism which dynamically adjusts parameters (codec and packetization interval) based on the application performance within a session.
Journal ArticleDOI
Smart Street Lighting Control and Monitoring System for Electrical Power Saving by Using VANET
TL;DR: A system that automatically switches off the light for the parts of the streets having no vehicles and turns on the light once there are some vehicles that are going to come is proposed, which may save a large amount of the electrical power and increase the lifetime of the lamps and reduce the pollutions.
Journal ArticleDOI
Intelligent Traffic Management System Based on the Internet of Vehicles (IoV)
Samir A. Elsagheer Mohamed,Samir A. Elsagheer Mohamed,Samir A. Elsagheer Mohamed,Khaled Al-Shalfan +3 more
TL;DR: Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities.