Nanopublications

@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix orcid: <https://orcid.org/> .
@prefix pav: <http://purl.org/pav/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix semsci: <https://w3id.org/semsci/semscire/> .
@prefix sub: <https://w3id.org/np/RA3uz93wvKlI367hM96Rm87fQg_nEDLPoqq4FDdu4leWc/> .
@prefix this: <https://w3id.org/np/RA3uz93wvKlI367hM96Rm87fQg_nEDLPoqq4FDdu4leWc> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub:Head {
  this: np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}

sub:assertion {
  <https://doi.org/10.1038/s41598-025-22524-y> semsci:usesMethod sub:_1 .
  sub:_1 dcterms:description "Hybrid deep transfer learning model integrating pretrained classical convolutional neural networks with variational quantum circuits." ;
    a semsci:Method ;
    rdfs:label "Variational Quantum Enhanced Deep Transfer Learning" ;
    semsci:claimsAdvantage true ;
    semsci:hasCategory "machine_learning" ;
    semsci:hasPlatform "theoretical" ;
    semsci:isHybrid true .
}

sub:provenance {
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    pav:createdWith "LLM-assisted" ;
    prov:wasDerivedFrom <https://doi.org/10.1038/s41598-025-22524-y> , <https://w3id.org/np/RAvk9pmoZ2IberoDe7zUWV0bVithiy6CnbSG5y06YuKM0> ;
    semsci:hasValidationStatus "pending_human_review" .
  sub:assertion prov:generatedAtTime "2026-01-02T23:06:53.854677"^^xsd:dateTime ;
    prov:wasAttributedTo orcid:0000-0002-1784-2920 .
}

sub:pubinfo {
  this: prov:generatedAtTime "2026-01-02T23:06:53.854677"^^xsd:dateTime ;
    prov:wasAttributedTo orcid:0000-0002-1784-2920 .
  sub:_nanopub dcterms:subject "Variational quantum enhanced deep transfer learning for small underwater aqua species image classification." ;
    npx:wasCreatedFromTemplate <https://w3id.org/np/RAy3tITXPlULFLXxAxek39GLqLdqKkNM5hIzUOZxxjMmI> .
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}