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Antifragility via Online Learning and Monitoring: an IoT Case Study

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 03 Jul 2025Publisher:Zenodo
Authors: Scotti, Vincenzo; PEREZ PALACIN, Diego; Brauzi, Valerio; Grassi, Vincenzo; Mirandola, Raffaela;

doi: 10.5281/zenodo.15799786 , 10.5281/zenodo.15797978 , 10.5281/zenodo.15797977 , 10.5281/zenodo.15800078

Antifragility via Online Learning and Monitoring: an IoT Case Study

Abstract

Replication package for the artifact evaluation of the paper Antifragility via Online Learning and Monitoring: an IoT Case Study (https://publikationen.bibliothek.kit.edu/1000182721). See the README.md file inside the archive for further details.

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
0
Average
Average
Average