On-Site Identification of Counterfeit Drugs Based on Near-Infrared Spectroscopy Siamese-Network Modeling

Near-infrared spectroscopy (NIR) has become one of the most important methods for counterfeit drugs identification for its low cost, non-destructive, and on-site detection. However, it is often invalid for unknown samples beyond the scope of modeling samples, as well as it is not efficient in condit...

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Veröffentlicht in:	IEEE access 2021-01, Vol.9, p.3195-3206
Hauptverfasser:	An-Bing, Zheng, Hui-Hua, Yang, Xi-Peng, Pan, Li-Hui, Yin, Yan-Chun, Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	1D CNN Algorithms Analytical models Artificial neural networks Convolution Counterfeit Counterfeiting Data models drug identification Drugs Identification Identification methods Infrared spectra Infrared spectroscopy Inspection Model accuracy Modelling Near infrared radiation near-infrared spectroscopy Onsite Siamese-network Sodium Spectroscopy Spectrum analysis Training
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