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Towards Energy-Efficient Framework for IoT Big Data Healthcare Solutions
(
Hindawi
, 2020 , Article)
The aim of the Internet of things (IoT) is to bring every object (wearable sensors, healthcare sensors, cameras, home appliances, smart phones, etc.) online. These different objects generate huge data which consequently ...
Reinforcement learning-based school energy management system
(
MDPI AG
, 2020 , Article)
Energy efficiency is a key to reduced carbon footprint, savings on energy bills, and sustainability for future generations. For instance, in hot climate countries such as Qatar, buildings are high energy consumers due to ...
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
(
Springer
, 2020 , Article)
Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ...
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
(
Hindawi Limited
, 2017 , Article)
The last decade has witnessed tremendous efforts to shape the Internet of things (IoT) platforms to be well suited for healthcare applications. These platforms are comprised of a network of wireless sensors to monitor ...
Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
(
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 ...