<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-KJTZFP05</identifier><date>2022</date><creator>Gams, Matjaž</creator><creator>Gazvoda, Samo</creator><creator>Jovanović, Marko</creator><creator>Kalabakov, Stefan</creator><creator>Marinko, Anže</creator><creator>Noveski, Gjorgji</creator><creator>Ravničan, Jože</creator><relation>documents/doc/K/URN_NBN_SI_doc-KJTZFP05_001.pdf</relation><relation>documents/doc/K/URN_NBN_SI_doc-KJTZFP05_001.txt</relation><format format_type="issue">2</format><format format_type="volume">46</format><format format_type="type">article</format><format format_type="extent">str. 187-196</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v46i2.3938</identifier><identifier identifier_type="COBISSID">194343427</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-KJTZFP05</identifier><language>eng</language><publisher publisher_location="Ljubljana">Slovene Society Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">avtomobilska industrija</subject><subject language_type_id="slv">kontrola kakovosti</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A prestudy of machine learning in industrial quality control pipelines</title></Record>