1 citations · 3 across the 16 of their papers we have counts for
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Identification of complex mixtures for Raman spectroscopy using a novel scheme based on a new multi-label deep neural network
Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam +1
With noisy environment caused by fluoresence and additive white noise as well as complicated spectrum fingerprints, the identification of complex mixture materials remains a major…
Method for classifying a noisy Raman spectrum based on a wavelet transform and a deep neural network
Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam +3
This paper proposes a new framework based on a wavelet transform and deep neural network for identifying noisy Raman spectrum since, in practice, it is relatively difficult to clas…
Noise Reduction Technique for Raman Spectrum using Deep Learning Network
Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang +3
In a normal indoor environment, Raman spectrum encounters noise often conceal spectrum peak, leading to difficulty in spectrum interpretation. This paper proposes deep learning (DL…