<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-O09QPZKB</identifier><date>2025</date><creator>Nguyen, Thi Hoang Phuong</creator><relation>documents/doc/O/URN_NBN_SI_doc-O09QPZKB_001.pdf</relation><relation>documents/doc/O/URN_NBN_SI_doc-O09QPZKB_001.txt</relation><format format_type="issue">11</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 121-148</format><identifier identifier_type="DOI">10.31449/inf.v49i11.7482</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">239909891</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-O09QPZKB</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">kakovost hrane</subject><subject language_type_id="slv">spektroskopija</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">združevanje podatkov</subject><title>Advances in machine learning framework for near-infrared spectroscopy: a taxonomic review on food quality assessment</title></Record>