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A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation.
Uhlig, Sebastian; Alkhasli, Ilkin; Schubert, Frank; Tschöpe, Constanze; Wolff, Matthias.
Afiliación
  • Uhlig S; Fraunhofer Institute for Ceramic Technologies and Systems, IKTS, Dresden, Germany; Fraunhofer IKTS Cognitive Material Diagnostics Project Group, KogMat(D), Cottbus, Germany.
  • Alkhasli I; Fraunhofer Institute for Ceramic Technologies and Systems, IKTS, Dresden, Germany; Fraunhofer IKTS Cognitive Material Diagnostics Project Group, KogMat(D), Cottbus, Germany.
  • Schubert F; Fraunhofer Institute for Ceramic Technologies and Systems, IKTS, Dresden, Germany.
  • Tschöpe C; Fraunhofer Institute for Ceramic Technologies and Systems, IKTS, Dresden, Germany; Fraunhofer IKTS Cognitive Material Diagnostics Project Group, KogMat(D), Cottbus, Germany.
  • Wolff M; Brandenburg University of Technology Cottbus-Senftenberg, BTU C-S, Chair of Communications Engineering, Cottbus, Germany. Electronic address: Matthias.Wolff@b-tu.de.
Ultrasonics ; 134: 107041, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37352575
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ultrasonics Año: 2023 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ultrasonics Año: 2023 Tipo del documento: Article País de afiliación: Alemania