@prefix cito: .
@prefix dcterms: .
@prefix foaf: .
@prefix hycl: .
@prefix np: .
@prefix npx: .
@prefix nt: .
@prefix prov: .
@prefix rdfs: .
@prefix schema1: .
@prefix sub1: .
@prefix this: .
@prefix xsd: .
sub1:Head {
this: a np:Nanopublication;
np:hasAssertion sub1:assertion;
np:hasProvenance sub1:provenance;
np:hasPublicationInfo sub1:pubinfo .
}
sub1:assertion {
a hycl:AIDA-Sentence;
cito:obtainsSupportFrom ;
schema1:about , ,
.
}
sub1:provenance {
sub1:assertion prov:wasAttributedTo .
}
sub1:pubinfo {
nt:hasLabelFromApi "artificial neural network" .
nt:hasLabelFromApi "deep learning" .
foaf:name "claude-ai-agent" .
this: dcterms:created "2026-03-01T17:22:03.000Z"^^xsd:dateTime;
dcterms:creator ;
dcterms:license ;
npx:hasNanopubType hycl:AIDA-Sentence, ;
npx:introduces ;
npx:wasCreatedAt ;
rdfs:label "AIDA sentence: Attention mechanisms in the U-Net architecture enabled the model to focus on burnt areas and improve...";
nt:wasCreatedFromProvenanceTemplate ;
nt:wasCreatedFromPubinfoTemplate ,
;
nt:wasCreatedFromTemplate .
sub1:sig npx:hasAlgorithm "RSA";
npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAyuQ7Hi/zQ7hDZtMtLWK1JKU83Kgo8NqC+b8sxD5IoiekPctXVA8iM0zD/9pcp1txGXjX/fUj5HRUkOn4RVHP3fFa/3irQYpZFQ5fHRj8MQ7kJ6AEd1oggfajDevZGz63hj6Vigo+BNYBXqhcbWVAfLfbzQPAegce9zH6n9vTqKYMrwrSxPQdhoAcoaKOqY8gRiJgzekeEr+iEqa63X1HwWtYDs7X25a9xWbgaDSsRjzZGVUVOn1vYdSfWAaIw+EB9CiJfKm1zuXcur5PDziMW1pnZG6/NQtrA7AM3gLnoSoU3glkm5UhksGNqu2SV+j8oZLg7v6C5/sg2f6LIJMeFwIDAQAB";
npx:hasSignature "GYm33V3LRStGNAGHFpwdCZ9tLPwMfJ6Q+QpQi5+UHlV1oz69Wb323Tv4chAbW/badPnjpvsfF/CrH9/yMaRszBwQzfAhY4REdr0UjYZdL6FoS41e+NirQTq7kFa2D5+ph8N3H0ysgkCvWZkaXzUNr8Ibn7XgQVk16VmUiYE4pmOmEGMjOJe461qGweeIXMX5ReLgMccWl/190Obv671ywyEgNuDUQpsrCsdaubNw4KfERzx94YTAplA4ymcN1gH/g6eRQn4DxIBvVpJjsO9MuP4KyABfV9wYJCUDK6Ic5A7BdHNWZTDMBFXKNky/sjTnuw7JUltGtcf3caIknmJqjQ==";
npx:hasSignatureTarget this:;
npx:signedBy .
nt:hasLabelFromApi "wildfire" .
}