289 citations
- King Saud UniversitySA3 papers
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- Cairo UniversityEG2 papers
- Chouaib Doukkali UniversityMA2 papers
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- École Polytechnique Fédérale de LausanneCH2 papers
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- Nanyang Technological UniversitySG2 papers
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6 papers · 1 filter
Understanding the Advisor-advisee Relationship via Scholarly Data Analysis
Jiaying Liu, Tao Tang, Xiangjie Kong +3
Advisor-advisee relationship is important in academic networks due to its universality and necessity. Despite the increasing desire to analyze the career of newcomers, however, the…
User Popularity-based Packet Scheduling for Congestion Control in Ad-hoc Social Networks
Feng Xia, Hannan Bin Liaqat, Ahmedin Mohammed Ahmed +4
Traditional ad-hoc network packet scheduling schemes cannot fulfill the requirements of proximity-based ad-hoc social networks (ASNETs) and they do not behave properly in congested…
A Secure Federated Learning Framework for 5G Networks
Yi Liu, Jialiang Peng, Jiawen Kang +3
Federated Learning (FL) has been recently proposed as an emerging paradigm to build machine learning models using distributed training datasets that are locally stored and maintain…
IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation
M. E. Karar, M. F. Al-Rasheed, A. F. Al-Rasheed +1
This article aims at saving the wasted water in the process of irrigation using the Internet of Things (IoT) based on a set of sensors and Multi-Layer Perceptron (MLP) neural netwo…
GASDUINO-Wireless Air Quality Monitoring System Using Internet of Things
M. E. Karar, A. M. Al-Masaad, O. Reyad
The Health Effects Institute (HEI) reported recently that the deaths from the negative health effects of the air pollution in the Middle East Region is about 500,000 people. Theref…
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger +2
Purpose: Gliomas are the most common and aggressive type of brain tumors due to their infiltrative nature and rapid progression. The process of distinguishing tumor boundaries from…