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ZENODO
Software . 2018
License: http://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: http://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: ZENODO
ZENODO
Software . 2018
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: Datacite
ZENODO
Software . 2018
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: Datacite
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GPU-Enabled Multivariate Fox H-function Code

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Aug 2018Embargo end date: 09 Oct 2018Publisher:Zenodo
Authors: H. Chergui, M. Benjillali and M.-S. Alouini;
Code repository: https://github.com/HatimChergui/mfoxh-GPU/tree/v1.0

doi: 10.5281/zenodo.11316270 , 10.5281/zenodo.1400403 , 10.5281/zenodo.1400402

GPU-Enabled Multivariate Fox H-function Code

Abstract

A GPU-enabled Matlab implementation of the multivariate Fox H-function. It can also be used on CPU by dropping gpuArray() function. If you use this code or any (modified) part of it, please cite it as: H. Chergui, M. Benjillali and M. -S. Alouini, "Rician K-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks," in IEEE Wireless Communications Letters, vol. 8, no. 2, pp. 428-431, April 2019, doi: 10.1109/LWC.2018.2874654 [Online]. Available: https://arxiv.org/abs/1804.08101

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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