Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems

Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems

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Bibliographic Details
Main Author: Javadi, Saeideh Sadat
Format: Thesis
Published: 2013
Subjects:
QA75 Electronic computers
Computer science
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id my-utm-ep.36776
record_format uketd_dc
spelling my-utm-ep.367762014-05-05T06:10:58Z Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems 2013 Javadi, Saeideh Sadat QA75 Electronic computers. Computer science 2013 Thesis http://eprints.utm.my/id/eprint/36776/ masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Javadi, Saeideh Sadat
Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems
description
format Thesis
qualification_level Master's degree
author Javadi, Saeideh Sadat
author_facet Javadi, Saeideh Sadat
author_sort Javadi, Saeideh Sadat
title Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems
title_short Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems
title_full Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems
title_fullStr Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems
title_full_unstemmed Enhancement of a Network-Coding Based QoS framework using adaptability in wearable health monitoring systems
title_sort enhancement of a network-coding based qos framework using adaptability in wearable health monitoring systems
granting_institution Universiti Teknologi Malaysia, Faculty of Computing
granting_department Faculty of Computing
publishDate 2013
_version_ 1747816457298771968

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