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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/18395Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Al-Mahdawe, A | - |
| dc.contributor.author | Al-Raweshidy, H | - |
| dc.date.accessioned | 2019-06-12T09:54:36Z | - |
| dc.date.available | 2019-06-12T09:54:36Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | IEEE Systems Journal | en_US |
| dc.identifier.issn | 1932-8184 | - |
| dc.identifier.issn | http://dx.doi.org/10.1109/JSYST.2019.2921867 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/18395 | - |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | Software-Defined Networks (SDN), | en_US |
| dc.subject | Neural net41 works (NN),. | en_US |
| dc.subject | Smart grid, | en_US |
| dc.subject | Monitoring network, | en_US |
| dc.subject | Fault prediction, | en_US |
| dc.subject | 42 LoRa-IoT, | en_US |
| dc.subject | Sensors | en_US |
| dc.title | A Smart Optimization of Fault Diagnosis in Electrical Grid using Distributed Software-Defined IoT System | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | http://dx.doi.org/10.1109/JSYST.2019.2921867 | - |
| dc.relation.isPartOf | IEEE Systems Journal | - |
| pubs.publication-status | Accepted | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 5.68 MB | Adobe PDF | View/Open |
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