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Fledermausohren und Fliegenaugen

dc.contributor.authorRussi, Mario
dc.contributor.authorNetsch, Christoph
dc.contributor.authorSteinecker, Alexander
dc.date.accessioned2022-12-22T08:22:59Z
dc.date.available2022-12-22T08:22:59Z
dc.date.issued2022-04
dc.identifier.citationfmpro serviceen_US
dc.identifier.urihttps://yoda.csem.ch/handle/20.500.12839/1092
dc.description.abstractMit geschärften Sinnen und künstlicher Intelligenz lassen sich Maschinenfehler besser und leichter entdecken.en_US
dc.subjectAnomaliedetektionen_US
dc.subjectDeep Learningen_US
dc.subjectAIen_US
dc.subjectIndustrie 4.0en_US
dc.subjectPredictive Maintenanceen_US
dc.subjectCondition Based Monitoringen_US
dc.titleFledermausohren und Fliegenaugenen_US
dc.typeMediaen_US
dc.type.csemdivisionsDiv-Ren_US
dc.type.csemresearchareasIndustry 4.0en_US


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