<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-PQFJJE97</identifier><date>2024</date><creator>Pal, Chandrajit</creator><relation>documents/doc/P/URN_NBN_SI_doc-PQFJJE97_001.pdf</relation><relation>documents/doc/P/URN_NBN_SI_doc-PQFJJE97_001.txt</relation><format format_type="issue">12</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 41-53</format><identifier identifier_type="DOI">10.31449/inf.v48i12.5762</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">219586307</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-PQFJJE97</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">kakav</subject><subject language_type_id="slv">klasifikacija zrn</subject><subject language_type_id="slv">obdelava slik</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Cocoa-Net</title><title>performance analysis on classification of cocoa beans using structural image feature</title></Record>