<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-4O6I4G14</identifier><date>2024</date><creator>She, Dong</creator><relation>documents/doc/4/URN_NBN_SI_doc-4O6I4G14_001.pdf</relation><relation>documents/doc/4/URN_NBN_SI_doc-4O6I4G14_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. 133-145</format><identifier identifier_type="DOI">10.31449/inf.v48i11.6003</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">219166723</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-4O6I4G14</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">generativne nasprotniške mreže</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">robotika</subject><subject language_type_id="slv">rudniki</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Retinex-based visual image enhancement algorithm for coal mine exploration robots</title></Record>