<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-OZEKI77P</identifier><date>2025</date><creator>Khelifa, Meriem</creator><creator>Mezzoudj, Saliha</creator><creator>Saadna, Yasmina</creator><relation>documents/doc/O/URN_NBN_SI_doc-OZEKI77P_001.pdf</relation><relation>documents/doc/O/URN_NBN_SI_doc-OZEKI77P_001.txt</relation><format format_type="issue">17</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 173-188</format><identifier identifier_type="DOI">10.31449/inf.v49i17.7505</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">250550787</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-OZEKI77P</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">COVID-19</subject><subject language_type_id="slv">diagnostika</subject><subject language_type_id="slv">konvolucijsko nevronsko omrežje</subject><subject language_type_id="slv">rentgenske slike</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Leveraging spark-tensorflow distributor for distributed deep convolutional neural networks: accelerating large-scale COVID-19 detection</title></Record>