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Rapid and Nondestructive On-Site Classification Method for Consumer-Grade Plastics Based on Portable NIR Spectrometer and Machine Learning

机译：基于便携式NIR光谱仪和机器学习的消费级塑料快速和无损现场分类方法

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Yinglin Yang; Xin Zhang; Jianwei Yin; Xiangyang Yu;
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2. Classification of Chicken Parts Using a Portable Near-Infrared (NIR) Spectrophotometer and Machine Learning [J] . Nolasco Perez Irene Marivel, Badaro Amanda Teixeira, Barbon Sylvio Jr., Applied Spectroscopy: Society for Applied Spectroscopy . 2018,第12期

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3. Portable, visual, and nondestructive detector integrating Vis/NIR spectrometer for sugar content of kiwifruits [J] . Yang Biao, Guo Wenchuan, Li Weiqiang, Journal of food process engineering . 2019,第2期

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4. On evaluation of automatic visual inspection method based on supervised machine learning for rapid on-site evaluation in EUS-FNA [C] . Li Wei, Hirofumi Inoue, Motohiro Tabuchi, SICE Annual Conference . 2016

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5. Portable, Cost-effective, and Rapid Yeast Cell Concentration and Viability Measurement using Lensless On-chip Microscopy and Support Vector Machine Classification [D] . Feizi, Alborz. 2016

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6. Rapid analyses of dry matter content and carotenoids in fresh cassava roots using a portable visible and near infrared spectrometer (Vis/NIRS) [O] . Ugochukwu N. Ikeogu, Fabrice Davrieux, Dominique Dufour, 2011

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7. Development of a Portable Ultraviolet-visible Absorption/Fluorescence Spectrometer and Its Application to Nondestructive On-site Analysis of Original Drawings by Katsushika Hokusai [O] . Saki AKAGI, Yoshinari ABE, Arisa IZUMI, 2019

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Rapid and Nondestructive On-Site Classification Method for Consumer-Grade Plastics Based on Portable NIR Spectrometer and Machine Learning

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