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Software . 2017
Data sources: Datacite
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Software . 2017
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Software . 2017
Data sources: Datacite
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sensors-2017. Code and data related to paper 10.1109/JSEN.2017.2765745. v1.0.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Dec 2017Publisher:Zenodo
Authors: Sariola, Veikko; Koivikko, Anastasia; Raei, Ehsan Sadeghian;
Code repository: https://github.com/vsariola/sensors-2017/tree/v1.0.0

doi: 10.5281/zenodo.1098900 , 10.5281/zenodo.1098899

sensors-2017. Code and data related to paper 10.1109/JSEN.2017.2765745. v1.0.0

Abstract

Code and data related to the publication: Koivikko et al. "Screen-printed curvature sensors for soft robots" IEEE Sensors J., vol. 18, no. 1, 2018. DOI: 10.1109/JSEN.2017.2765745 http://dx.doi.org/10.1109/JSEN.2017.2765745 If you find the code or data useful, please cite that paper. The code is written in Matlab and can be used to recreate the plots in the paper. Tested / written on Matlab R2016a.

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Keywords

screen printing, sensors, soft robots

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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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