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3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ...
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Mobile edge computing (MEC) has been considered as a promising technology to provide seamless integration of multiple application services. Federated learning (FL) is carried out at edge clients in MEC for privacy-preserving ...
MmWave MIMO-OFDM with Index Modulation: A Pareto-Optimal Trade-off on Spectral-Energy Efficiency
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM) has the potential advantage to balance the trade-off between spectral efficiency (SE) and energy efficiency ...
Distributed Multi-Objective Resource Optimization for Mobile-Health Systems
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data. M-health systems provide the ...
Fast Prototyping of KNN Based Gas Discrimination System on the Zynq SoC
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Electronic noses (EN) or machine olfaction are systems used for the detection and identification of odorous compounds and gas mixtures. The accuracy of such systems is as important as the processing time. Therefore, the ...
Pose Detection for Partially Occluded Persons in Spectator Crowds
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
In recent years, vision based solutions have shown improvement in performance for scenes containing single or few persons for the tasks of person detection, tracking, and action recognition. Dense crowd analysis is the ...
Adaptative Network Topology for Data Centers
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Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Data centers have an important role in supporting cloud computing services (such as email, social networking, web search, etc.) enterprise computing needs, and infrastructure-based services. Data center networking is a ...
Methodical evaluation of Arabic word embeddings
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Many unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first ...
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
(
Elsevier
, 2017 , Conference Paper)
Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ...
A lightweight and privacy-preserving authentication protocol for mobile edge computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
With the advent of the Internet-of-Things (IoT), vehicular networks and cyber-physical systems, the need for real-time data processing and analysis has emerged as an essential pre-requite for customers' satisfaction. In ...