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dc.contributor.authorMarkovska, Marijaen_US
dc.contributor.authorTaskovski, Dimitaren_US
dc.date.accessioned2020-04-30T20:50:19Z-
dc.date.available2020-04-30T20:50:19Z-
dc.date.issued2018-05-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/7917-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleThe effectiveness of wavelet based features on power quality disturbances classification in noisy environmenten_US
dc.typeProceeding articleen_US
dc.relation.conference2018 18th International Conference on Harmonics and Quality of Power (ICHQP)en_US
dc.identifier.doi10.1109/ichqp.2018.8378873-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/8370760/8378806/08378873.pdf?arnumber=8378873-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Conference Papers
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