Adversarial Data Augmentation and Transfer Net for Scrap Metal Identification Using Laser-Induced Breakdown Spectroscopy Measurement of Standard Reference Materials.

Srivastava, Ekta; Kim, Hyebin; Lee, Jaepil; Shin, Sungho; Jeong, Sungho; Hwang, Euiseok

Srivastava, Ekta; Kim, Hyebin; Lee, Jaepil; Shin, Sungho; Jeong, Sungho; Hwang, Euiseok.

Srivastava E; Gwangju Institute of Science and Technology (GIST), School of Electrical Engineering and Computer Science, Gwangju, South Korea.
Kim H; Gwangju Institute of Science and Technology (GIST), School of Electrical Engineering and Computer Science, Gwangju, South Korea.
Lee J; Korea Electric Power Research Institute (KEPRI), Daejeon, South Korea.
Shin S; Gwangju Institute of Science and Technology (GIST), School of Mechanical Engineering, Gwangju, South Korea.
Jeong S; Purdue University, Department of Basic Medical Sciences, West Lafayette, Indiana, USA.
Hwang E; Gwangju Institute of Science and Technology (GIST), School of Mechanical Engineering, Gwangju, South Korea.

Appl Spectrosc ; 77(6): 603-615, 2023 Jun.

Article en En | MEDLINE | ID: mdl-37097821

Asunto(s)

Aluminio; Metales; Contaminación de Medicamentos; Análisis Espectral; Rayos Láser

Palabras clave

GAN; LIBS; Laser-induced breakdown spectroscopy; data augmentation; generative adversarial network; scrap metal classification; transfer learning

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aluminio / Metales Tipo de estudio: Diagnostic_studies Idioma: En Año: 2023 Tipo del documento: Article

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PubMed Links

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aluminio / Metales Tipo de estudio: Diagnostic_studies Idioma: En Año: 2023 Tipo del documento: Article