<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-I79UBGGL</identifier><date>2025</date><creator>Benchabane, Abderrazak</creator><creator>Charif, Fella</creator><relation>documents/doc/I/URN_NBN_SI_doc-I79UBGGL_001.pdf</relation><relation>documents/doc/I/URN_NBN_SI_doc-I79UBGGL_001.txt</relation><format format_type="issue">16</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 67-75</format><identifier identifier_type="DOI">10.31449/inf.v49i16.5869</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">243355651</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-I79UBGGL</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">COVID-19</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">rentgenske slike</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Enhanced COVID-19 detection through combined image enhancement and deep learning techniques</title></Record>