Browsing by Author "Abdellatif A.A."
Now showing items 1-17 of 17
-
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 ... -
Automated class-based compression for real-time epileptic seizure detection
( IEEE Computer Society , 2018 , Conference Paper)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 ... -
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
( Elsevier B.V. , 2022 , Article)Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. It is a promising solution for telemonitoring ... -
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
( IEEE Computer Society , 2022 , Article)Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ... -
Edge computing for smart health: Context-aware approaches, opportunities, and challenges
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Improving the efficiency of healthcare systems is a top national interest worldwide. However, the need to deliver scalable healthcare services to patients while reducing costs is a challenging issue. Among the most promising ... -
EdgeHealth: An Energy-Efficient Edge-based Remote mHealth Monitoring System
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Promoting smart and scalable remote health monitoring systems is challenging due to the enormous amount of collected data that needs to be processed and transferred given the limited network resources and battery-operated ... -
EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this paper, we conduct a biological data collection and analysis study for patients undergoing routine planned intravenous antibiotic treatment. The acquired data (i.e., Electroencephalogram (EEG), temperature and blood ... -
EEG-Based Transceiver Design with Data Decomposition for Healthcare IoT Applications
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)The emergence of Internet of Things (IoT) applications and rapid advances in wireless communication technologies have motivated a paradigm shift in the development of viable applications such as mobile-health (m-health). ... -
MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Medical data exchange between diverse e-health entities can lead to a better healthcare quality, improving the response time in emergency conditions, and a more accurate control of critical medical events (e.g., national ... -
On Physical Layer Security in Energy-Efficient Wireless Health Monitoring Applications
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this paper, we investigate a multi-objective optimization framework for secure wireless health monitoring applications. In particular, we consider a legitimate link for the transmission of a vital EEG signal, threatened ... -
On the Performance of Tactical Communication Interception Using Military Full Duplex Radios
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Advances in the design of Full-Duplex (FD) transceivers with low residual Self-Interference (SI) levels has led to their deployment in various wireless communication applications. One promising field that FD transceivers ... -
ONSRA: An Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)The rapid production of mobile and wearable devices along with the wireless applications boom is continuing to evolve everyday. This motivates network operators to integrate and exploit wireless spectrum across multiple ... -
Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints
( IEEE Computer Society , 2022 , Article)Distributed learning algorithms aim to leverage distributed and diverse data stored at users' devices to learn a global phenomena by performing training amongst participating devices and periodically aggregating their local ... -
Performance Evaluation of Hyperledger Fabric
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Blockchain is a distributed secure ledger that eliminates the need for centralized authority to store data. The centralized approach has several limitations as it is a Single-Point-of-Failure and a third-party might be ... -
SsHealth: Toward secure, blockchain-enabled healthcare systems
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The future of healthcare systems is being shaped by incorporating emerged technological innovations to drive new models for patient care. By acquiring, integrating, analyzing, and exchanging medical data at different system ... -
User-Centric Networks Selection with Adaptive Data Compression for Smart Health
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)The increasing demand for intelligent and sustainable healthcare services has prompted the development of smart health systems. Rapid advances in wireless access technologies and in-network data reduction techniques can ...