<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-297X5GG8</identifier><date>2025</date><creator>Song, Lei</creator><creator>Wang, Yanjie</creator><relation>documents/doc/2/URN_NBN_SI_doc-297X5GG8_001.pdf</relation><relation>documents/doc/2/URN_NBN_SI_doc-297X5GG8_001.txt</relation><format format_type="issue">14</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 47-61</format><identifier identifier_type="DOI">10.31449/inf.v49i14.7602</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">241595395</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-297X5GG8</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">anomalije</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">konvolucijsko nevronsko omrežje</subject><subject language_type_id="slv">omrežni promet</subject><subject language_type_id="slv">razvrščanje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Application and optimization of convolutional neural networks based on deep learning in network traffic classification and anomaly detection</title></Record>