Dongfang Yu, Jinwei Wang*
Journal of Information Hiding and Privacy Protection, Vol.2, No.4, pp. 165-174, 2020, DOI:10.32604/jihpp.2020.010466
- 07 January 2021
Abstract Chemical spectral analysis is contemporarily undergoing a revolution
and drawing much attention of scientists owing to machine learning algorithms, in
particular convolutional networks. Hence, this paper outlines the major machine
learning and especially deep learning methods contributed to interpret chemical
images, and overviews the current application, development and breakthrough in
different spectral characterization. Brief categorization of reviewed literatures is
provided for studies per application apparatus: X-Ray spectra, UV-Vis-IR spectra,
Micro-scope, Raman spectra, Photoluminescence spectrum. End with the
overview of existing circumstances in this research area, we provide unique insight
and promising directions for the chemical More >
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