Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/47273Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | BELLEMANS, Tom | |
| dc.contributor.author | Bowen, Andrew | |
| dc.date.accessioned | 2025-09-08T12:28:07Z | - |
| dc.date.available | 2025-09-08T12:28:07Z | - |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://hdl.handle.net/1942/47273 | - |
| dc.format.mimetype | Application/pdf | |
| dc.language | en | |
| dc.publisher | UHasselt | |
| dc.title | Geospatial AI: State of the art inventory and showcase | |
| dc.type | Theses and Dissertations | |
| local.bibliographicCitation.jcat | T2 | |
| dc.description.notes | Master of Transportation Sciences-Transport Policy and Planning | |
| local.type.specified | Master thesis | |
| item.fulltext | With Fulltext | - |
| item.fullcitation | Bowen, Andrew (2025) Geospatial AI: State of the art inventory and showcase. | - |
| item.accessRights | Open Access | - |
| item.contributor | Bowen, Andrew | - |
| Appears in Collections: | Master theses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 79544e1e-e737-40a1-90ce-e79485e212c8.pdf | 1.55 MB | Adobe PDF | View/Open |
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