Comparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data

Simple item page
dc.contributor.authorKonstantinos Demestichas
dc.contributor.authorTheodoros Alexakis
dc.contributor.authorNikolaos Peppes
dc.contributor.authorEvgenia Adamopoulou
dc.date.accessioned2025-05-21T03:28:27Z
dc.date.available2025-05-21T03:28:27Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33589
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleComparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistributionecb41f73-207a-4737-8e5d-fd6590febc5a
relation.isDatasetOfDistribution.latestForDiscoveryecb41f73-207a-4737-8e5d-fd6590febc5a

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
vehicles-03-02-00011.pdf
Size:
987.19 KB
Format:
Adobe Portable Document Format
Download

Collections

2021