Journal of Surface Analysis
Online ISSN : 1347-8400
Print ISSN : 1341-1756
ISSN-L : 1341-1756
Volume 28, Issue 2
Displaying 1-6 of 6 articles from this issue
Preface
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Paper
  • Masaru Ito, Kazuhiro Matsuda, Satoka Aoyagi
    2022 Volume 28 Issue 2 Pages 110-126
    Published: February 10, 2022
    Released on J-STAGE: October 01, 2022
    JOURNAL FREE ACCESS
    Time-of-flight secondary ion mass spectrometry (TOF-SIMS) data are generally so complex that multivariate analysis such as principal component analysis (PCA) and multivariate curve resolution (MCR) are often necessary to interpret TOF-SIMS data. Interpreting more complex TOF-SIMS data requires further data analysis methods using machine learning and deep learning. In this study, the application of autoencoder which is one of the unsupervised methods based on artificial neural networks into TOF-SIMS data of three polymers was evaluated.
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