Improving the Accuracy of Complex Solution Detection in Wedge Sample Pool Based on Machine Learning-Reference-Cited by-同舟云学术

Improving the Accuracy of Complex Solution Detection in Wedge Sample Pool Based on Machine Learning

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence
language:
Short-container-title:

Author:

Zhao Zhe¹^ORCID,Zhu Ruina²^ORCID,Yang Yuyan¹^ORCID,Wang Huiquan²^ORCID,Wang Jinhai²^ORCID,Han Guang²^ORCID

Affiliation:

1. School of Electronics and Information Engineering, TianGong University, China and Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, China

2. School of Life Sciences, TianGong University, China and Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594315.3594662

Reference16 articles.

1. Garini Y. , Young I. T. , and McNamara G. ( 2006 ). Spectral imaging: principles and applications. Cytometry part a: the journal of the international society for analytical cytology, 69(8), 735-747 . Garini Y., Young I. T., and McNamara G. (2006). Spectral imaging: principles and applications. Cytometry part a: the journal of the international society for analytical cytology, 69(8), 735-747.

2. Applications of hyperspectral imaging for quality assessment of liquid based and semi-liquid food products: A review

3. Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks

4. Rapid prediction of multiple wine quality parameters using infrared spectroscopy coupling with chemometric methods

5. Optical screening for presence of banned Sudan III and Sudan IV dyes in edible palm oils