Intrusion detection in cloud computing based on time series anomalies utilizing machine learning

AR Al-Ghuwairi, Y Sharrab, D Al-Fraihat… - Journal of Cloud …, 2023 - Springer
The growth of cloud computing is hindered by concerns about privacy and security. Despite
the widespread use of network intrusion detection systems (NIDS), the issue of false …

[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 …

[PDF][PDF] Towards virtual university based on virtual reality and terabits internet speed: A review paper

EA Shudayfat, Y Sharrab, M Tarawneh… - International Journal of …, 2022 - researchgate.net
With the advances in data communication, high speed internet in terabits per second, and
the coming next generation (6G), where the data rate will be very sufficient for virtual reality …

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 …

A comprehensive comparison and analysis of machine learning algorithms including evaluation optimized for geographic location prediction based on Twitter tweets …

H Samadi, MA Kollathodi - 2023 - Taylor & Francis
Given a tweet, a machine learning model when after undertaking the training, development
and testing phase is able to predict where the author of the tweet is situated. Our notion 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 …

iHELP: a model for instant learning of video coding in VR/AR real-time applications

YO Sharrab, MA Alsmirat, MAH Eljinini… - Multimedia Tools and …, 2024 - Springer
Virtual and augmented reality (VR/AR), teleoperation, and telepresence technologies
heavily depend on video streaming and playback to enable immersive user experiences …

Innovating project management: AI applications for success prediction and resource optimization

M Tarawneh, H AbdAlwahed, F AlZyoud - International Conference on …, 2024 - Springer
Abstract The revolution of Artificial Intelligence (AI) has made transformative changes in all
industries. The field of software engineering has great benefit from AI by Automat all …

Deep neural networks in social media forensics: unveiling suspicious patterns and advancing investigations on twitter

Y Sharrab, D Al-Fraihat… - 2023 3rd Intelligent …, 2023 - ieeexplore.ieee.org
Text data forensics, a rapidly developing field that focuses on analyzing textual content to
identify criminal or suspicious activities, is becoming increasingly important due to the …