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Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Software . 2019
License: http://opensource.org/licenses/MIT
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 . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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janbrumm/inbodychannel: Version v1.0.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Jun 2019Publisher:Zenodo
Authors: Brumm, Jan; Strohm, Hannah;
Code repository: https://github.com/janbrumm/inbodychannel/tree/v1.0.0

doi: 10.5281/zenodo.3258247 , 10.5281/zenodo.3258246

janbrumm/inbodychannel: Version v1.0.0

Abstract

The provided data contains the modeling parameters and a Python script to generate random transfer functions for ultra wideband in-body communication as described in [BSB19] J.-C. Brumm, H. Strohm and G. Bauch, “A Stochastic Channel Model for UWB In-Body Communication,” in 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'2019). Berlin, Germany, 2019. The software can also be found in our GitLab repository https://collaborating.tuhh.de/int/in-body/inbodychannel.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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