Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/41397Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | YASAR, Ansar-Ul-Haque | |
| dc.contributor.author | Mir, Mohmad Iqbal | |
| dc.date.accessioned | 2023-09-21T07:52:51Z | - |
| dc.date.available | 2023-09-21T07:52:51Z | - |
| dc.date.issued | 2023 | |
| dc.identifier.uri | http://hdl.handle.net/1942/41397 | - |
| dc.format.mimetype | Application/pdf | |
| dc.language | en | |
| dc.publisher | UHasselt | |
| dc.title | Automatic accident detection and notification system using IoT-based vehicular environment | |
| dc.type | Theses and Dissertations | |
| local.bibliographicCitation.jcat | T2 | |
| dc.description.notes | Master of Transportation Sciences | |
| local.type.specified | Master thesis | |
| item.fulltext | With Fulltext | - |
| item.fullcitation | Mir, Mohmad Iqbal (2023) Automatic accident detection and notification system using IoT-based vehicular environment. | - |
| item.accessRights | Open Access | - |
| item.contributor | Mir, Mohmad Iqbal | - |
| Appears in Collections: | Master theses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 56dcd090-57b0-4815-ba9e-cd47bdc1afb7.pdf | 4.47 MB | Adobe PDF | View/Open |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.