Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23292Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Almalki, F | - |
| dc.contributor.author | Alotaibi, A | - |
| dc.contributor.author | Angelides, M | - |
| dc.date.accessioned | 2021-09-29T12:32:44Z | - |
| dc.date.available | 2021-09-29T12:32:44Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.issn | 0010-485X | - |
| dc.identifier.issn | 1436-5057 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/23292 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | Drones | en_US |
| dc.subject | Machine Learning | en_US |
| dc.subject | Face Mask Detection | en_US |
| dc.subject | Internet of Everything | en_US |
| dc.subject | COVID-19 | en_US |
| dc.title | Coupling multifunction drones with AI in the fight against the coronavirus pandemic | en_US |
| dc.type | Article | en_US |
| dc.relation.isPartOf | Computing | - |
| pubs.publication-status | Accepted | - |
| dc.identifier.eissn | 1436-5057 | - |
| Appears in Collections: | Brunel Design School Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 25 Sep 2022 | 2.14 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.