Near infrared spectroscopy quantification based on Bi-LSTM and transfer learning for new scenarios-Reference-Cited by-同舟云学术

Near infrared spectroscopy quantification based on Bi-LSTM and transfer learning for new scenarios

Published:2022-12 Issue: Volume:283 Page:121759
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Tan Ailing,Wang Yunxin,Zhao Yong,Wang Bolin,Li Xiaohang,Wang Alan X.

Funder

Hebei Province Science and Technology Support Program

United States-Japan Foundation

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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4. Translating near-infrared spectroscopy from laboratory to commercial slaughterhouse: Existing challenges and solutions;Mishra;Infrared Phys. Technol.,2021

5. Review of near-infrared spectroscopy as a process analytical technology for real-time product monitoring in dairy processing;Yuan-Yuan;Int. Dairy J.,2020

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