<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-2IOABIMS</identifier><date>2024</date><creator>Boškoski, Pavle</creator><creator>Dolanc, Gregor</creator><creator>Mlinarič, Jernej</creator><creator>Petrovčič, Janko</creator><creator>Pregelj, Boštjan</creator><relation>documents/doc/2/URN_NBN_SI_doc-2IOABIMS_001.pdf</relation><relation>documents/doc/2/URN_NBN_SI_doc-2IOABIMS_001.txt</relation><format format_type="volume">19</format><format format_type="type">article</format><format format_type="issue">nu. 2</format><format format_type="extent">pp 182–196</format><identifier identifier_type="DOI">10.14743/apem2024.2.500</identifier><identifier identifier_type="ISSN">1854-6250</identifier><identifier identifier_type="COBISSID_HOST">214818307</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-2IOABIMS</identifier><language>eng</language><publisher publisher_location="Maribor">Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</publisher><source>Advances in production engineering and management</source><rights>BY</rights><subject language_type_id="eng">fault detection</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="eng">quality inspection</subject><title>Optimization of reliability and speed of the end-of-line quality inspection of electric motors using machine learning</title></Record>