Towards Improved Turbomachinery Measurements: A Comprehensive Analysis of Gaussian Process Modeling for a Data-Driven Bayesian Hybrid Measurement Technique

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datacite.relatedItem.firstPage28
datacite.relatedItem.issue3
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2504-186X
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJTPP
datacite.relatedItem.volume9
dc.contributor.authorGonçalo G. Cruz
dc.contributor.authorXavier Ottavy
dc.contributor.authorFabrizio Fontaneto
dc.date.accessioned2025-03-17T22:26:31Z
dc.date.available2025-03-17T22:26:31Z
dc.date.issued2024
dc.identifier.doihttps://doi.org/10.3390/ijtpp9030028
dc.identifier.otherjz000099-0027
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/10758
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc620
dc.titleTowards Improved Turbomachinery Measurements: A Comprehensive Analysis of Gaussian Process Modeling for a Data-Driven Bayesian Hybrid Measurement Technique
dc.typeArticle
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