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Dataset . 2022
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License: CC BY
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https://doi.org/10.5281/zenodo...
Dataset . 2023
License: CC BY
Data sources: Sygma
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https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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GRN-TXT-traffic-data

Authors: Cianco, Claire; Muscat, Adrian; Bonnici, Nicole;

GRN-TXT-traffic-data

Abstract

This dataset is generated from the GDPR compliant AI models developed in MARVEL (objective 2) and/or GRN’s proprietary CATFlow system. These models take as input the audio or video streams and output non-binary structured data, which is further processed in the implementation of some use-cases.

This dataset is also available in the MARVEL Data Corpus at the following link: https://datacorpus.marvel-project.eu/dataset/view/9baa2a38-3b29-4853-b650-f8938d3a5f51

Keywords

traffic entity, structured traffic data

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download
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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10
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