Browsing by Author "Mohamed, A."
Now showing items 1-20 of 175
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3-D Stochastic Geometry-based Modeling and Performance Analysis of Efficient Security Enhancement scheme for IoT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day’s life. The heterogeneous nature of IoT devices and the complex use scenarios make it ... -
A cooperative Q-learning approach for distributed resource allocation in multi-user femtocell networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)This paper studies distributed interference management for femtocells that share the same frequency band with macrocells. We propose a multi-agent learning technique based on distributed Q-learning, called subcarrier-based ... -
A cooperative Q-learning approach for online power allocation in femtocell networks
( IEEE , 2013 , Conference)In this paper, we address the problem of distributed interference management of cognitive femtocells that share the same frequency range with macrocells using distributed multiagent Q-learning. We formulate and solve three ... -
A Deep Reinforcement Learning Framework for Data Compression in Uplink NOMA-SWIPT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)<comment< Non-orthogonal multiple access (NOMA) shall play an important role in the current and foreseeable design of 5G and beyond networks. NOMA allows multiple users to share the same time-frequency ... -
A simple cross correlation switched beam system (XSBS) for angle of arrival estimation
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)We propose a practical, simple and hardware friendly, yet novel and efficient, angle of arrival (AoA) estimation system. Our intuitive, two-phases cross-correlation-based system requires a switched beam antenna array with ... -
A survey of blockchain enabled cyber-physical systems
( MDPI AG , 2020 , Article Review)Cyber-physical systems (CPS) is a setup that controls and monitors the physical world around us. The advancement of these systems needs to incorporate an unequivocal spotlight on making these systems efficient. Blockchains ... -
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The Internet of Things (IoT) integrates billions of smart devices that can communicate with one another with minimal human intervention. IoT is one of the fastest developing fields in the history of computing, with an ... -
A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To ... -
Active Learning with Noisy Labelers for Improving Classification Accuracy of Connected Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. Reacting to such situations requires accurate classification ... -
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
( IEEE , 2013 , Conference)Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ... -
Adaptive energy-aware encoding for DWT-based wireless EEG tele-monitoring system
( IEEE Computer Society , 2013 , Conference)Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ... -
Ambient Intelligence - Software and Applications: 6th International Symposium on Ambient Intelligence (ISAmI 2015)
( Springer Verlag , 2015 , Conference)[No abstract available] -
An evolutionary game theoretic approach for cooperative spectrum sensing
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)Many spectrum sensing techniques have been proposed to allow a secondary user (SU) to utilize a primary user's (PU) spectrum through opportunistic access. However, few of them have considered the tradeoff between accuracy ... -
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu, and Twitch are gaining more momentum recently. Allocating the limited resources in a cost-effective manner while maximizing the ... -
Automated class-based compression for real-time epileptic seizure detection
( IEEE Computer Society , 2018 , Conference)The emergence of next generation wireless networking technologies has motivated a paradigm shift in development of viable mobile-Health applications for ubiquitous real-time healthcare monitoring. However, remote healthcare ... -
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus there has been significant interest in scalability of mobile core ... -
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)The increase in mobile traffic which is accompanied by a random workload, variations necessitate an upgrade of mobile network infrastructure to maintain acceptable network performance. Scaling the mobile core network ... -
Bayesian network based heuristic for energy aware EEG signal classification
( SpringerLink , 2013 , Conference)A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ... -
Biometric-based authentication scheme for Implantable Medical Devices during emergency situations
( Elsevier B.V. , 2019 , Article)Biometric recognition and analysis are among the most trusted features to be used by Implantable Medical Devices (IMDs). We aim to secure these devices by using these features in emergency scenarios. As patients can witness ... -
Blockchain Based Decentralized Trust Management framework
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)The blockchain is a storage technology and transmission of information, transparent, secure, and operating without central control. In this paper, we propose a new decentralized trust management and cooperation model where ...
