<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-V53RWOEX</identifier><date>2018</date><creator>Avdakovic, Samir</creator><creator>Hubana, Tarik</creator><creator>Šarić, Mirza</creator><relation>documents/doc/V/URN_NBN_SI_doc-V53RWOEX_001.pdf</relation><relation>documents/doc/V/URN_NBN_SI_doc-V53RWOEX_001.txt</relation><format format_type="issue">3</format><format format_type="volume">85</format><format format_type="type">article</format><format format_type="extent">str. 109-114</format><identifier identifier_type="ISSN">0013-5852</identifier><identifier identifier_type="COBISSID">13154563</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-V53RWOEX</identifier><language>eng</language><publisher>Strokovna zadruga koncesijoniranih elektrotehnikov</publisher><source>Elektrotehniški vestnik</source><rights>InC</rights><subject language_type_id="slv">elektrodistribucijska omrežja</subject><subject language_type_id="slv">elektrotehnika</subject><subject language_type_id="slv">napake</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">valjčna transformacija</subject><subject language_type_id="slv">zaščita</subject><title>High-impedance fault identification and classification using a discrete wavelet transform and artificial neural networks</title></Record>