<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-OE0M4WA0</identifier><date>2025</date><creator>Wang, Hui</creator><relation>documents/doc/O/URN_NBN_SI_doc-OE0M4WA0_001.pdf</relation><relation>documents/doc/O/URN_NBN_SI_doc-OE0M4WA0_001.txt</relation><format format_type="issue">17</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 11-23</format><identifier identifier_type="DOI">10.31449/inf.v49i17.7595</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">245680387</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-OE0M4WA0</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">grafovske nevronske mreže</subject><subject language_type_id="slv">inteligentna proizvodnja</subject><subject language_type_id="slv">robustnost</subject><subject language_type_id="slv">samonadzorovano učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Innovative application of intelligent mechanical manufacturing based on self-supervised learning and graph neural network fusion optimization</title></Record>