Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33912
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dc.contributor.authorAli, Kareem-
dc.contributor.authorIoannou, Georgios-
dc.contributor.authorLouvieris, Panos-
dc.contributor.authorCosmas, John-
dc.contributor.authorTaylor, Marcus-
dc.contributor.authorDimitrakakis, Georgios-
dc.contributor.authorChome, Edward-
dc.contributor.authorMete, Sahin-
dc.contributor.authorKizil, Taskin-
dc.contributor.authorCelik, Semih-
dc.contributor.authorBulut, Betul-
dc.coverage.spatialLondon, United Kingdom-
dc.date.accessioned2026-09-29T15:43:06Z-
dc.date.available2026-09-29T15:43:06Z-
dc.date.issued2025-09-12-
dc.identifier.citationAli, K. et al. (2025) 'IoT Data Mining of Air Cargo for Autonomous Artificial Intelligent Raising of Import Duties by Revenue and Customs', 6th International Conference on Computer Vision and Data Mining (ICCVDM), London, United Kingdom, 12–14 September, pp. 365–369. doi: 10.1109/iccvdm66874.2025.11290038.en_US
dc.identifier.isbn9798331566210-
dc.identifier.isbn9798331566203-
dc.identifier.isbn9798331566227-
dc.identifier.otherhttps://doi.org/10.1109/iccvdm66874.2025.11290038-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33912-
dc.description.abstractThe vision presented by OECD's Forum on Tax Administration proposes a digital transformation of tax administration by embedding tax collecting process into the everyday activities that taxpayers use to service their needs rather than being an add-on process. The ATTACC project demonstrates how this could be achieved through Generic Radio Access Network (GRAN)-IoT-enabled cross-border trading. This project seeks to reduce frictions in international trade that stem from data duplication and complex administrative processes to deliver an automated cross-border tax and customs compliance capability and apply AI to analyze large datasets to spot discrepancies between declared income and actual financial activity.en_US
dc.description.sponsorshipCELTIC NEXT Research Project ATTACC (AuTomated TAx Compliance for Cross-border Trading with GRAN-IoT) No C2023/2-23.en_US
dc.format.extentpp. 365–369-
dc.languageEnglishen_US
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsRe-use licence for this version: CC BY-
dc.rightsLicence for published version: Publisher's own licence-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.source6th International Conference on Computer Vision and Data Mining (ICCVDM)-
dc.titleIoT Data Mining of Air Cargo for Autonomous Artificial Intelligent Raising of Import Duties by Revenue and Customsen_US
dc.typeConference paperen_US
dc.date.dateAccepted2025-07-15-
dc.identifier.doihttps://doi.org/10.1109/iccvdm66874.2025.11290038-
dc.relation.isPartOf2025 6th International Conference on Computer Vision and Data Mining (ICCVDM)en_US
pubs.finish-date2025-09-14-
pubs.publication-statusPublished-
pubs.start-date2025-09-12-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2025-07-15-
dcterms.issued2025-09-12-
dc.date.updated2026-09-29T15:38:07Z-
dc.rights.holderThe Author(s)-
dc.contributor.orcidIoannou, Georgios [0000-0002-1986-5472]-
dc.contributor.orcidLouvieris, Panos [0000-0001-7685-0309]-
dc.contributor.orcidCosmas, John [0000-0003-4378-5576]-
Appears in Collections:Department of Computer Science Research Papers
Department of Electronic and Electrical Engineering Research Papers

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