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dc:creator <https://dblp.l3s.de/d2r/resource/authors/Huber_Nieto-Chaupis>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FTransAI51903.2021.00016>
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dc:identifier DBLP conf/transai/Nieto-Chaupis21 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FTransAI51903.2021.00016 (xsd:string)
dcterms:issued 2021 (xsd:gYear)
rdfs:label Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Huber_Nieto-Chaupis>
swrc:pages 45-46 (xsd:string)
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rdfs:seeAlso <https://doi.org/10.1109/TransAI51903.2021.00016>
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dc:title Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic. (xsd:string)
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rdf:type swrc:InProceedings
rdf:type foaf:Document