Show simple item record

dc.contributor.authorThomopoulos, Stelios C. A.
dc.date.accessioned2025-03-07T23:38:21Z
dc.date.available2025-03-07T23:38:21Z
dc.date.issued2021
dc.date.submitted2024-05-23T10:13:26Z
dc.identifierONIX_20240523__56
dc.identifierhttps://library.oapen.org/handle/20.500.12657/90536
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/171330
dc.description.abstractundefined
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.subject.otherMachine learning
dc.titleChapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
dc.typechapter
oapen.identifier.doi10.5772/intechopen.96209
oapen.relation.isPublishedBy035ecc65-6737-43cf-a13a-6bdf67ce01f4
oapen.relation.isFundedByH2020 European Research Council
oapen.relation.isFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079
oapen.collectionEuropean Research Council (ERC)
oapen.collectionEU collection
oapen.grant.number787120
dc.relationisFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

open access
Except where otherwise noted, this item's license is described as open access