<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-48NPGMP7</identifier><date>2025</date><creator>Zhang, Guangtao</creator><creator>Zhang, Jun</creator><relation>documents/doc/4/URN_NBN_SI_doc-48NPGMP7_001.pdf</relation><relation>documents/doc/4/URN_NBN_SI_doc-48NPGMP7_001.txt</relation><format format_type="issue">11</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 1-16</format><identifier identifier_type="DOI">10.31449/inf.v49i11.7137</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">239622915</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-48NPGMP7</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">umetna inteligenca</subject><subject language_type_id="slv">veliki podatki</subject><subject language_type_id="slv">visokoločljiva fotografija</subject><subject language_type_id="slv">visokoločljivostno fotogrametrično 3D modeliranje</subject><title>High-precision photogrammetric 3d modeling technology based on multi-source data fusion and deep learning-enhanced feature learning using internet of things big data</title></Record>