<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-49NP1V48</identifier><date>2025</date><creator>Hu, Jingwei</creator><relation>documents/doc/4/URN_NBN_SI_doc-49NP1V48_001.pdf</relation><relation>documents/doc/4/URN_NBN_SI_doc-49NP1V48_001.txt</relation><format format_type="issue">12</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 127-144</format><identifier identifier_type="DOI">10.31449/inf.v49i12.7558</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">240381699</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-49NP1V48</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">kazniva dejanja</subject><subject language_type_id="slv">konvolucijske nevronske mreže</subject><subject language_type_id="slv">LSTM nevronske mreže</subject><subject language_type_id="slv">mehanizem samopozornosti</subject><subject language_type_id="slv">spletni krimnal</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Online criminal behavior recognition based on CNNH and MCNNLSTM</title></Record>