<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-KLT535DD</identifier><date>2024</date><creator>Chen, Hong shun</creator><creator>Liu, Lianqiu</creator><creator>Yang, Yongping</creator><relation>documents/doc/K/URN_NBN_SI_doc-KLT535DD_001.pdf</relation><relation>documents/doc/K/URN_NBN_SI_doc-KLT535DD_001.txt</relation><format format_type="issue">11</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 113-123</format><identifier identifier_type="DOI">10.31449/inf.v48i11.5851</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">219139075</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-KLT535DD</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">multimedija</subject><subject language_type_id="slv">obdelava slik</subject><subject language_type_id="slv">računalniški vid</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Application of new feature techniques for multimedia analysis in artificial neural networks by using image processing</title></Record>