Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/7916| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Markovska, Marija | en_US |
| dc.contributor.author | Taskovski, Dimitar | en_US |
| dc.date.accessioned | 2020-04-30T20:50:11Z | - |
| dc.date.available | 2020-04-30T20:50:11Z | - |
| dc.date.issued | 2017-07 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/7916 | - |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.title | Optimal wavelet based feature extraction and classification of power quality disturbances using random forest | en_US |
| dc.type | Proceeding article | en_US |
| dc.relation.conference | IEEE EUROCON 2017 -17th International Conference on Smart Technologies | en_US |
| dc.identifier.doi | 10.1109/eurocon.2017.8011232 | - |
| dc.identifier.url | http://xplorestaging.ieee.org/ielx7/8004574/8011054/08011232.pdf?arnumber=8011232 | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Conference Papers | |
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