Energy Efficient CH Selection Scheme Based on ABC and Q-Learning Approaches for IoUT Applications

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datacite.relatedItem.firstPage529
datacite.relatedItem.issue11
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2079-8954
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleSystems
datacite.relatedItem.volume11
dc.contributor.authorElmustafa Sayed Ali
dc.contributor.authorRashid A. Saeed
dc.contributor.authorIbrahim Khider Eltahir
dc.contributor.authorMaha Abdelhaq
dc.contributor.authorRaed Alsaqour
dc.contributor.authorRania A. Mokhtar
dc.date.accessioned2025-05-22T12:01:05Z
dc.date.available2025-05-22T12:01:05Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/systems11110529
dc.identifier.otherjz000180-0524
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/39464
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc600
dc.titleEnergy Efficient CH Selection Scheme Based on ABC and Q-Learning Approaches for IoUT Applications
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/39465
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