Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/7917| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Markovska, Marija | en_US |
| dc.contributor.author | Taskovski, Dimitar | en_US |
| dc.date.accessioned | 2020-04-30T20:50:19Z | - |
| dc.date.available | 2020-04-30T20:50:19Z | - |
| dc.date.issued | 2018-05 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/7917 | - |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.title | The effectiveness of wavelet based features on power quality disturbances classification in noisy environment | en_US |
| dc.type | Proceeding article | en_US |
| dc.relation.conference | 2018 18th International Conference on Harmonics and Quality of Power (ICHQP) | en_US |
| dc.identifier.doi | 10.1109/ichqp.2018.8378873 | - |
| dc.identifier.url | http://xplorestaging.ieee.org/ielx7/8370760/8378806/08378873.pdf?arnumber=8378873 | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Conference Papers | |
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