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AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning.
Hwang, In Hui; Solovyev, Mikhail A; Han, Sang Wook; Chan, Maria K Y; Hammonds, John P; Heald, Steve M; Kelly, Shelly D; Schwarz, Nicholas; Zhang, Xiaoyi; Sun, Cheng Jun.
  • Hwang IH; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Solovyev MA; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Han SW; Department of Physics Education and Institute of Fusion Science, Jeonbuk National University, Jeonju 54896, Republic of Korea.
  • Chan MKY; Center for Nanoscale Nanomaterials, Argonne National Laboratory, Argonne, IL 60439, USA.
  • Hammonds JP; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Heald SM; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Kelly SD; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Schwarz N; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Zhang X; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
  • Sun CJ; X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.
J Synchrotron Radiat ; 29(Pt 5): 1309-1317, 2022 Sep 01.
Article en En | MEDLINE | ID: mdl-36073891
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Automático no Supervisado / Análisis de Datos Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Automático no Supervisado / Análisis de Datos Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article