<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-A3EG0QSY</identifier><date>2025</date><creator>Huang, Zhen</creator><relation>documents/doc/A/URN_NBN_SI_doc-A3EG0QSY_001.pdf</relation><relation>documents/doc/A/URN_NBN_SI_doc-A3EG0QSY_001.txt</relation><format format_type="issue">15</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 135-144</format><identifier identifier_type="DOI">10.31449/inf.v49i15.7977</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">243172099</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-A3EG0QSY</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">mehanizem pozornosti</subject><subject language_type_id="slv">ResNet-50</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">vozniki</subject><subject language_type_id="slv">zaspanost</subject><title>Integrating attention mechanisms and ResNet-50 for enhanced driver sleepiness detection</title></Record>