DC FieldValueLanguage
dc.contributor.authorLange, Timo-
dc.contributor.authorBabu, Ajish-
dc.contributor.authorMeyer, Philipp-
dc.contributor.authorKeppner, Matthis-
dc.contributor.authorTiedemann, Tim-
dc.contributor.authorWittmaier, Martin-
dc.contributor.authorWolff, Sebastian-
dc.contributor.authorVögele, Thomas-
dc.date.accessioned2024-03-26T09:45:59Z-
dc.date.available2024-03-26T09:45:59Z-
dc.date.issued2024-
dc.identifier.isbn9788862650335en_US
dc.identifier.issn2282-0027en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/15338-
dc.description.sponsorshipBundesministerium für Umwelt, Naturschutz, Nukleare Sicherheit und Verbraucherschutzen_US
dc.language.isoenen_US
dc.publisherCISA Publisheren_US
dc.subject.ddc600: Techniken_US
dc.titleFirst lessons learned of an artificial intelligence robotic system for autonomous coarse waste recycling using multispectral imaging-based methoden
dc.typeinProceedingsen_US
dc.relation.conferenceInternational Symposium on Waste Management, Resource Recovery and Sustainable Landfilling 2023en_US
dc.description.versionPeerRevieweden_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteForschungs- und Transferzentrum Smart Systemsen_US
tuhh.publication.instituteFakultät Technik und Informatiken_US
tuhh.publication.instituteDepartment Informatiken_US
tuhh.relation.ispartofseriesProceedings SARDINIA 2023en_US
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.relation.projectSmartRecycling-UP entwickelt Methoden zur automatischen Erkennung großstückiger Abfälleen_US
dc.type.casraiConference Paper-
dc.type.dinicontributionToPeriodical-
dc.type.drivercontributionToPeriodical-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
local.comment.externalSupported by the Federal Republic of Germany, Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection based on a decision by the German Bundestag, grant no. 67KI21013A/B/C.en_US
item.seriesrefProceedings SARDINIA 2023-
item.tuhhseriesidProceedings SARDINIA 2023-
item.creatorGNDLange, Timo-
item.creatorGNDBabu, Ajish-
item.creatorGNDMeyer, Philipp-
item.creatorGNDKeppner, Matthis-
item.creatorGNDTiedemann, Tim-
item.creatorGNDWittmaier, Martin-
item.creatorGNDWolff, Sebastian-
item.creatorGNDVögele, Thomas-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.creatorOrcidLange, Timo-
item.creatorOrcidBabu, Ajish-
item.creatorOrcidMeyer, Philipp-
item.creatorOrcidKeppner, Matthis-
item.creatorOrcidTiedemann, Tim-
item.creatorOrcidWittmaier, Martin-
item.creatorOrcidWolff, Sebastian-
item.creatorOrcidVögele, Thomas-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeinProceedings-
crisitem.author.deptDepartment Informatik-
crisitem.author.deptDepartment Informatik-
crisitem.author.deptDepartment Informatik-
crisitem.author.orcid0000-0002-6628-7652-
crisitem.author.parentorgFakultät Technik und Informatik-
crisitem.author.parentorgFakultät Technik und Informatik-
crisitem.author.parentorgFakultät Technik und Informatik-
crisitem.project.funderBundesministerium für Umwelt, Naturschutz, Nukleare Sicherheit und Verbraucherschutz-
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