<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-LZ3QAHYS</identifier><date>2025</date><creator>Chao, Jinjin</creator><creator>Jiao, Mengtian</creator><relation>documents/doc/L/URN_NBN_SI_doc-LZ3QAHYS_001.pdf</relation><relation>documents/doc/L/URN_NBN_SI_doc-LZ3QAHYS_001.txt</relation><format format_type="issue">13</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 105-122</format><identifier identifier_type="DOI">10.31449/inf.v49i13.7374</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">241122307</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-LZ3QAHYS</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">internet stvari</subject><subject language_type_id="slv">metoda TRDM</subject><subject language_type_id="slv">mobilna omrežja</subject><subject language_type_id="slv">ojačitev mrežnih spektralnih virov</subject><subject language_type_id="slv">ojačitveno učenje</subject><subject language_type_id="slv">optimizacija</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Network spectrum resource allocation and optimization based on deep learning and TRDM</title></Record>