<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-U1MHTCQ5</identifier><date>2024</date><creator>Liu, Quanzhi</creator><creator>Wu, Shuang</creator><creator>Zhang, Peng</creator><relation>documents/doc/U/URN_NBN_SI_doc-U1MHTCQ5_001.pdf</relation><relation>documents/doc/U/URN_NBN_SI_doc-U1MHTCQ5_001.txt</relation><format format_type="volume">48</format><format format_type="issue">5</format><format format_type="type">article</format><format format_type="extent">str. 23-28</format><identifier identifier_type="DOI">10.31449/inf.v48i5.5393</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">213693443</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-U1MHTCQ5</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">dolgoročno kratkoročni model spominskega omrežja</subject><subject language_type_id="slv">grafično konvolucijska mreža</subject><subject language_type_id="slv">napovedovanje</subject><subject language_type_id="slv">promet</subject><subject language_type_id="slv">statistika</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Statistical analysis of urban traffic flow using deep learning</title></Record>