Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers

Nondestructive detection methods, based on vibrational spectroscopy, are vitally important in a wide range of applications including industrial chemistry, pharmacy and national defense. Recently, deep learning has been introduced into vibrational spectroscopy showing great potential. Different from...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2024-05, Vol.46 (5), p.3845-3861
Hauptverfasser:	Wu, Yingying, Liu, Jinchao, Wang, Yan, Gibson, Stuart, Osadchy, Margarita, Fang, Yongchun
Format:	Artikel
Sprache:	eng
Schlagworte:	Back propagation Data augmentation Deep learning Domains Image reconstruction Machine learning Masked CNN Minerals Nondestructive testing Reconstruction Spectra Spectroscopy Task analysis Training Training data vibrational spectroscopy
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