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A Novel DCT-Based Compression Scheme for 5G Vehicular Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Next-generation (5G) vehicular networks will support various network applications, leading to specific requirements and challenges for wireless access technologies. This trend has motivated the development of the long-term ...
Deep learning and low rank dictionary model for mHealth data classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ...
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. ...
Dynamic users assignment and bandwidth allocation for energy efficient hybrid powered communication systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, we aim to encourage the use of renewable power in communication systems through hybrid powering. The problem consists of optimizing the resource allocation problem using the hybrid powering from renewable ...
Robustness analysis of superpixel algorithms to image blur, additive Gaussian noise, and impulse noise
(
SPIE
, 2017 , Article)
Superpixels have gradually become popular in computer vision and image processing applications. However, no comprehensive study has been performed to evaluate the robustness of superpixel algorithms in regard to common ...
Market-Based Model in CR-IoT: A QProbabilistic Multi-agent Reinforcement Learning Approach
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The ever-increasing urban population and the corresponding material demands have brought unprecedented burdens to cities. To guarantee better QoS for citizens, smart cities leverage emerging technologies such as the Cognitive ...
A hardware implementation for efficient spectrum access in cognitive radio networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Opportunistic spectrum access is a propitious technique to overcome the under-utilization of spectrum bands. In this work, we design an experimental test-bed for evaluating an un-slotted spectrum access scheme under real ...
A novel chaos-based physical layer security transmission scheme for internet of things
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
The Internet of Things (IoT) has attracted much attention in many fields, such as healthcare, transportation, finance and other critical infrastructures. But how to ensure the security of whole IoT system and the privacy ...
Impact of multiple video representations in live streaming: A cost, bandwidth, and QoE analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Video streaming is one of the most popular and highest bandwidth consumers within the Internet today. Cloud's elastic and pay-per-use model offers viable solution to varying demands of heterogeneous viewers for large-scale ...
A survey of Internet of Things communication using ICN: A use case perspective
(
Elsevier B.V.
, 2019 , Article Review)
Internet of Things (IoT) has gained extensive attention from industry and academia alike in past decade. The connectivity of each and every piece of technology in the environment with Internet, has opened many avenues of ...