<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-W04QPEDM</identifier><date>2025</date><creator>Abas, Hafiza</creator><creator>Azmi, Azri</creator><creator>Hussein, Ali</creator><relation>documents/doc/W/URN_NBN_SI_doc-W04QPEDM_001.pdf</relation><relation>documents/doc/W/URN_NBN_SI_doc-W04QPEDM_001.txt</relation><format format_type="issue">17</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 95-103</format><identifier identifier_type="DOI">10.31449/inf.v49i17.5992</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">245817603</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-W04QPEDM</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoke nevronske mreže</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">kibernetska varnost</subject><subject language_type_id="slv">klasifikacija</subject><subject language_type_id="slv">programska oprema</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Software vulnerability assessment and classification using machine learning, deep learning and feature selection techniques</title></Record>