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dc.contributor.authorSantos Veiga, Tiago
dc.contributor.authorAsad, Hafiz Areeb
dc.contributor.authorKraemer, Frank Alexander
dc.contributor.authorBach, Kerstin
dc.date.accessioned2024-06-20T10:53:28Z
dc.date.available2024-06-20T10:53:28Z
dc.date.created2023-08-13T14:49:22Z
dc.date.issued2023
dc.identifier.isbn0000000000
dc.identifier.urihttps://hdl.handle.net/11250/3134958
dc.description.abstractThis paper studies the deployment process for a use case of visual person counting from cameras located in outdoor areas and shows how a containerized solution fulfills the particular requirements for the use case, illustrating how the design of the modular architecture, data pipelines, and exposed services contribute to enhancing adaptive behavior through learning based on the context of the environment.en_US
dc.language.isoengen_US
dc.publisherTechnical University of Aachenen_US
dc.relation.ispartofProceedings of the 5th Symposium of the Norwegian AI Society (NAIS 2023)
dc.relation.urihttps://ceur-ws.org/Vol-3431/
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleContainer-Based IoT Architectures: Use Case for Visual Person Countingen_US
dc.title.alternativeContainer-Based IoT Architectures: Use Case for Visual Person Countingen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.identifier.cristin2166576
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextpostprint


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