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Maschinelles Lernen mithilfe eines Autoencoder-, -decoder Netzwerks ohne Einschränkung durch vorher gesetzte Lable zur Analyse hochaufgelöster Gammaspektren

maki:BD20254281313

Ein Auto-Encoder-/-Decoder mit entkoppeltem Latenzraum. Hochdimensionale Spektrendaten werden in einen niederdimensionalen Latenzraum übersetzt, dessen Elemente physikalischen Eigenschaften zuortenbar sind.

Authority · Bundesamt für StrahlenschutzLifecycle · Development19 Jul 2026, 21:49

A published link proves only the relationship stated by its evidence. It does not prove deployment, ownership, productive use, causality or completeness.

exact source ID · explicit URL · declared relationship
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maki:BD20254281313Stable identifier
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Maschinelles Lernen mithilfe eines Autoencoder-, -decoder Netzwerks ohne Einschränkung durch vorher gesetzte Lable zur Analyse hochaufgelöster Gammaspektren

Link basisexact_maki_system_id

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Claim

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MaKI · BD20254281313

Interpretation boundarySource-reported register presence; not an independent operational or compliance assessment.Open supporting evidence ↗
Claim

Published authority label

Bundesamt für Strahlenschutz · Federal

Interpretation boundaryThe published authority label has no cross-source legal-entity identifier.Open supporting evidence ↗
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Identifiers and URLs are presentation-independent. Names never create a join.

i6eal (2026): Maschinelles Lernen mithilfe eines Autoencoder-, -decoder Netzwerks ohne Einschränkung durch vorher gesetzte Lable zur Analyse hochaufgelöster Gammaspektren — public AI system evidence passport, data state 19 July 2026. https://i6eal.de/en/tools/ki-systempass/system/maki-bd20254281313/

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