Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47273
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorBELLEMANS, Tom
dc.contributor.authorBowen, Andrew
dc.date.accessioned2025-09-08T12:28:07Z-
dc.date.available2025-09-08T12:28:07Z-
dc.date.issued2025
dc.identifier.urihttp://hdl.handle.net/1942/47273-
dc.format.mimetypeApplication/pdf
dc.languageen
dc.publisherUHasselt
dc.titleGeospatial AI: State of the art inventory and showcase
dc.typeTheses and Dissertations
local.bibliographicCitation.jcatT2
dc.description.notesMaster of Transportation Sciences-Transport Policy and Planning
local.type.specifiedMaster thesis
item.accessRightsOpen Access-
item.contributorBowen, Andrew-
item.fullcitationBowen, Andrew (2025) Geospatial AI: State of the art inventory and showcase.-
item.fulltextWith Fulltext-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
79544e1e-e737-40a1-90ce-e79485e212c8.pdf1.55 MBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.