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Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
One of the highly promising radio access strategies for enhancing performance in the next generation cellular communications is non-orthogonal multiple access (NOMA). NOMA offers a number of advantages including better ...
Towards energy efficient and quality of service aware cell zooming in 5G wireless networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper presents an energy efficient and quality of service aware dynamic cell zooming algorithm for dense heterogeneous networks. The exponential growth of mobile data traffic would lead to dense deployment of small ...
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
(
IEEE
, 2013 , Conference Paper)
Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ...
Bayesian network based heuristic for energy aware EEG signal classification
(
SpringerLink
, 2013 , Conference Paper)
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. ...
DC bus control of an advanced flywheel energy storage kinetic traction system for electrified railway industry
(
IEEE
, 2013 , Conference Paper)
The evolution of public transportation exhibits high potential nowadays due to the consistent demand of clean transportation with low pollution rates. Therefore electrified railway systems become viable with their ...
Energy in smart grid: Strategies and technologies for efficiency enhancement
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Incorporating advanced software and hardware technologies, to create a two way electricity and information flow, is forming the concept of the smart grid (SG). In an SG the energy delivery and control not only autonomous ...
PEAM: A polymorphic, energy-aware MAC protocol for WBAN
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In remote healthcare monitoring and care delivery, obtaining the right information at the right time is critical. For these systems, designing an efficient MAC protocol that is able to meet the challenges on network quality ...
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper conveys the importance of using suitable data visualizations for electrical energy consumption and the effect it carries on reducing said consumption. Data visualization tools construct an important pillar in ...
Development of energy efficient battery electric car for Shell Eco-Marathon competition - Qatar University experience
(
IEEE Computer Society
, 2014 , Conference Paper)
The paper reports on the participation of Electrical Engineering students of Qatar University students in Shell Eco Marathon (SEM) competition, which aims at designing and racing energy efficient vehicles. This participation ...
Energy-efficient networks selection based deep reinforcement learning for heterogeneous health systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Smart health systems improve the existing health services by integrating information and technology into health and medical practices. However, smart healthcare systems are facing major challenges including limited network ...