<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-JQS0F96I</identifier><date>2025</date><creator>Yu, Yancen</creator><relation>documents/doc/J/URN_NBN_SI_doc-JQS0F96I_001.pdf</relation><relation>documents/doc/J/URN_NBN_SI_doc-JQS0F96I_001.txt</relation><format format_type="issue">18</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 39-49</format><identifier identifier_type="DOI">10.31449/inf.v49i18.7301</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">250688003</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-JQS0F96I</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">dobavne verige</subject><subject language_type_id="slv">internet stvari</subject><subject language_type_id="slv">povpraševanje</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">učinkovitost</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Optimizing supply chain logistics with iot and machine learning: from data collection to decision making based on refined battle royale optimizer weighted random forest</title></Record>