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Software . 2019
License: CC BY
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Software . 2019
License: CC BY
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Software . 2019
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Code for Performing Multi-Hop Calibration Using the Constrained Regression Method SCAN on Artificial Data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 09 Jul 2019 English Publisher:Zenodo
Authors: Maag, Balz;

doi: 10.5281/zenodo.3275253 , 10.5281/zenodo.3275252

Code for Performing Multi-Hop Calibration Using the Constrained Regression Method SCAN on Artificial Data

Abstract

Code (python) for performing experiments associated with the publication: Balz Maag, Zimu Zhou, Olga Saukh, and Lothar Thiele. SCAN: Multi-Hop Calibration for Mobile Sensor Arrays. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol.1, No.2 (IMWUT/UBICOMP 2017), Maui, USA. https://doi.org/10.1145/3191756 Quick how-to: 1.) Unpack "config.json.tar" 2.) Run "python MultihopCalibration.py --config_file=config.json" More details in README.md

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Keywords

bias towards zero, multi-hop calibration, air pollution sensors, constrained regression, sensor calibration, cross-sensitivity, regression dilution

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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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