<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-DNF2GO2K</identifier><date>2024</date><creator>Wu, Liping</creator><creator>Zhong, Wenji</creator><relation>documents/doc/D/URN_NBN_SI_doc-DNF2GO2K_001.pdf</relation><relation>documents/doc/D/URN_NBN_SI_doc-DNF2GO2K_001.txt</relation><format format_type="issue">12</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 123-135</format><identifier identifier_type="DOI">10.31449/inf.v48i12.6179</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">219797763</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-DNF2GO2K</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">Fourierjeva spektralna omejitev</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">stabilizacija</subject><subject language_type_id="slv">transformacija</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">video signal</subject><title>Optimization of video stability technology by integrating tiny-res-pwnet model</title></Record>