A Novel Adaptive Robust NIR Modeling Method Based on Sparse Bayesian Learning-Reference-Cited by-同舟云学术

A Novel Adaptive Robust NIR Modeling Method Based on Sparse Bayesian Learning

Published:2024-06 Issue:6 Volume:20 Page:8499-8511
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Yuqiang¹^ORCID,Du Wenli¹^ORCID,Wang Xinjie²^ORCID,Yu Huijing¹^ORCID

Affiliation:

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China

2. School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China

Funder

National Key Research and Development Program-Intergovernmental International Science and Technology Innovation Cooperation Project

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10550081/10472704.pdf?arnumber=10472704

Reference34 articles.

1. Near-Infrared Wavelength-Selection Method Based on Joint Mutual Information and Weighted Bootstrap Sampling

2. A Novel Integrated Approach to Characterization of Petroleum Naphtha Properties From Near-Infrared Spectroscopy

3. Enhanced Performance of a Brain Switch by Simultaneous Use of EEG and NIRS Data for Asynchronous Brain-Computer Interface

4. Partial Least Squares Estimation of Crop Moisture and Density by Near-Infrared Spectroscopy

5. Recent advances of chemometric calibration methods in modern spectroscopy: Algorithms, strategy, and related issues

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for prediction of norfloxacin residues in mutton;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-12