[PDF][PDF] Toward Smart and Immersive Classroom based on AI, VR, and 6G.

YO Sharrab, NT Almutiri, M Tarawneh… - Int. J. Emerg. Technol …, 2023 - academia.edu
The technological revolutions greatly impact current and future Classrooms. These
advances in technology include the revolution of artificial intelligence, virtual reality, and …

Towards the availability of video communication in artificial intelligence-based computer vision systems utilizing a multi-objective function

YO Sharrab, I Alsmadi, NJ Sarhan - Cluster Computing, 2022 - Springer
Availability is one of the three main goals of information security. This paper contributes to
systems' availability by introducing an optimization model for the adaptation (controlling the …

Performance comparison of several deep learning-based object detection algorithms utilizing thermal images

YO Sharrab, M Alsmira, Z Dwekat… - … on intelligent data …, 2021 - ieeexplore.ieee.org
The recent advancement in deep learning approaches of machine learning and computer
vision technology has paved the way for many advancements in object detection prediction …

[PDF][PDF] Machine learning-based energy consumption modeling and comparing of H. 264 and Google VP8 encoders

YO Sharrab, M Alsmirat, B Hawashin… - International Journal of …, 2021 - academia.edu
Advancement of the prediction models used in a variety of fields is a result of the contribution
of machine learning approaches. Utilizing such modeling in feature engineering is …

Video coding deep learning-based modeling for long life video streaming over next network generation

M Alsmirat, Y Sharrab, M Tarawneh, S Al-shboul… - Cluster …, 2023 - Springer
Availability is one of the primary goals of smart networks, especially, if the network is under
heavy video streaming traffic. In this paper, we propose a deep learning based methodology …

Intelligent optimization for automated video surveillance at the edge: a cross-layer approach

M Alsmirat, NJ Sarhan - Simulation Modelling Practice and Theory, 2020 - Elsevier
The interest in large scale automated video surveillance systems and the interest in using
cloud in supporting such systems has increased dramatically. Unfortunately, building such a …

Modeling and analysis of power consumption in live video streaming systems

YO Sharrab, NJ Sarhan - ACM Transactions on Multimedia Computing …, 2017 - dl.acm.org
This article develops an aggregate power consumption model for live video streaming
systems, including many-to-many systems. In many-to-one streaming systems, multiple …

Cross-layer optimization for automated video surveillance

M Alsmirat, NJ Sarhan - 2016 IEEE International Symposium on …, 2016 - ieeexplore.ieee.org
This paper develops an accuracy-based cross-layer optimization solution for wireless
automated video surveillance systems, in which multiple sources stream videos to a central …

Easy, fast, and energy-efficient object detection on heterogeneous on-chip architectures

E Totoni, M Dikmen, MJ Garzaran - ACM Transactions on Architecture …, 2013 - dl.acm.org
We optimize a visual object detection application (that uses Vision Video Library kernels)
and show that OpenCL is a unified programming paradigm that can provide high …

[图书][B] Modeling and Enhancing Deep Learning Accuracy in Computer Vision Applications

HR Hamandi - 2022 - search.proquest.com
Despite their wide usage in a tremendous number of applications, Computer Vision (CV)
algorithms struggle to maintain constant performance under varying image/video qualities …