Browsing by Author "n 2003097951"
Now showing items 21-40 of 98
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Deep learning approach for EEG compression in mHealth system
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The emergence of mobile health (mHealth) systems has risen the challenges and concerns due to the sensitivity of the data involved in such systems. It is essential to ensure that these data are well delivered to the health ... -
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)© 2013 IEEE. Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a major stimulus for the development of scalable and ... -
Deep Reinforcement Learning for Efficient Uplink NOMA SWIPT Transmissions
(2021 , Master Thesis)A key rival technology in radio access strategies for next generation cellular communications is non-orthogonal multiple access (NOMA) due to its enhanced performance compared to existing multiple access techniques such ... -
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, ... -
Directed graph-based wireless EEG sensor channel selection approach for cognitive task classification
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Wireless electroencephalogram (EEG) sensors have been successfully applied in many medical and computer brain interface classifications. A common characteristic of wireless EEG sensors is that they are low powered devices, ... -
Distributed in-network processing and resource optimization over mobile-health systems
( Academic Press , 2017 , Article)Advances in wireless and mobile communication technologies has promoted the development of Mobile-health (m-health) systems to find new ways to acquire, process, transport, and secure the medical data. M-health systems ... -
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 ... -
DLRT: Deep learning approach for reliable diabetic treatment
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Diabetic therapy or insulin treatment enables patients to control the blood glucose level. Today, instead of physically utilizing syringes for infusing insulin, a patient can utilize a gadget, for example, a Wireless Insulin ... -
DSA-based energy efficient cellular networks: Integration with the smart grid
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Smart Grid (SG)-aware cellular networks are expected to decrease their energy consumption and consequently decrease the global carbon emissions. At the same time, cellular operators are required to meet the end-user ... -
Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)5G networks are designed not only to transport data, but also to process them while supporting a vast number of services with different key Performance Indicators (KPIs). Network virtualization has emerged to enable this ... -
Efficient ECG Compression and QRS Detection for E-Health Applications
( Nature Publishing Group , 2017 , Article)Current medical screening and diagnostic procedures have shifted toward recording longer electrocardiogram (ECG) signals, which have traditionally been processed on personal computers (PCs) with high-speed multi-core ... -
Efficient EEG mobile edge computing and optimal resource allocation for smart health applications
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In the past few years, a rapid increase in the number of patients requiring constant monitoring, which inspires researchers to develop intelligent and sustainable remote smart healthcare services. However, the transmission ... -
Energy efficient antenna selection for a MIMO relay using RF energy harvesting
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Energy harvesting has emerged as a promising technique which helps to increase the sustainability of wireless networks. In this paper, we consider a network with a single source, single destination and a single relay ... -
Energy Efficient Antenna Selection for a MIMO Relay Using RF Energy Harvesting
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)Due to rapid growth in traffic demands and the number of subscribers, the transmit energy consumption becomes critical, both environmentally and economically. Increasing energy efficiency for wireless networks is the main ... -
Energy Efficient Cross-Layer Design for Wireless Body Area Monitoring Networks in Healthcare Applications
( IEEE , 2013 , Conference Paper)Growing number of patients with chronic diseases requiring constant monitoring has created a major impetus to developing scalable Body Area Sensor Networks (BASNs) for remote health applications. In this paper, to anatomize, ... -
Energy efficient path planning techniques for UAV-based systems with space discretization
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Unmanned Aerial Vehicles are miniature air-crafts that have proliferated in many military and civil applications. Their affordability allows for tasks to be held with not just one but a fleet of UAVs. One of the problems ... -
Energy-Aware Cooperative Wireless Networks with Multiple Cognitive Users
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, we study and analyze cooperative cognitive radio networks with arbitrary number of secondary users (SUs). Each SU is considered a prospective relay for the primary user (PU) besides having its own data ... -
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ... -
Energy-Harvesting Based Jammer Localization: A Battery-Free Approach in Wireless Sensor Networks
( IEEE , 2022 , Conference Paper)Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. Most of these technologies are vulnerable to jamming attacks. Jamming attacks are among the most effective ... -
Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data
( Hindawi , 2015 , Article)Brain status information is captured by physiological electroencephalogram (EEG) signals, which are extensively used to study different brain activities.This study investigates the use of a new ensemble classifier to ...
