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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/blackseecom/Dayi22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/A._Burak_Dayi>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FBlackSeaCom54372.2022.9858290>
foaf:homepage <https://doi.org/10.1109/BlackSeaCom54372.2022.9858290>
dc:identifier DBLP conf/blackseecom/Dayi22 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FBlackSeaCom54372.2022.9858290 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label Improving 5G NR Uplink Channel Estimation with Artificial Neural Networks: A Practical Study on NR PUSCH Receiver. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/A._Burak_Dayi>
swrc:pages 129-134 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/blackseecom/2022>
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rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/blackseecom/blackseecom2022.html#Dayi22>
rdfs:seeAlso <https://doi.org/10.1109/BlackSeaCom54372.2022.9858290>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/blackseecom>
dc:title Improving 5G NR Uplink Channel Estimation with Artificial Neural Networks: A Practical Study on NR PUSCH Receiver. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document