Research on Distillation Process of Chinese Spirits Based on Semantic Segmentation Algorithm-Reference-Cited by-同舟云学术

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Research on Distillation Process of Chinese Spirits Based on Semantic Segmentation Algorithm

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 8th International Conference on Computer and Communications (ICCC)
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Author:

Ji Qing¹,Zhao Wenyou²,Yuan Xiangbo²,Yuan Ye²,Li Shaobo³

Affiliation:

1. School of Mechanical Engineering/Digital and information management center Guizhou University/Guizhou Maotai Co., Ltd,Guiyang/Zunyi,China

2. Digital and information management center Guizhou Maotai Co., Ltd,Guiyang/Zunyi,China

3. Guizhou University,State Key Laboratory of Public Big Data,Guiyang,China

Funder

National Natural Science Foundation of China

Science and Technology Foundation of Guizhou Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10065600/10065601/10065650.pdf?arnumber=10065650

Reference11 articles.

1. Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation[C];papandreou;IEEE International Conference on Computer Vision,2016

2. ImageNet Classification with Deep Convolutional Neural Networks[J];krizhevsky;Advances in neural information processing systems,2012

3. A 3-D Atrous Convolution Neural Network for Hyperspectral Image Denoising

4. Newly developed 1.7 μm band external cavity laser and its application to evaluation of ethanol concentration in distilled spirits

5. Identification of the Distilled Spirits Fluorescence Spectroscopy Based on the PCA and SVM

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