Dataset Information

A Review of Machine Learning for Near-Infrared Spectroscopy.

ABSTRACT: The analysis of infrared spectroscopy of substances is a non-invasive measurement technique that can be used in analytics. Although the main objective of this study is to provide a review of machine learning (ML) algorithms that have been reported for analyzing near-infrared (NIR) spectroscopy from traditional machine learning methods to deep network architectures, we also provide different NIR measurement modes, instruments, signal preprocessing methods, etc. Firstly, four different measurement modes available in NIR are reviewed, different types of NIR instruments are compared, and a summary of NIR data analysis methods is provided. Secondly, the public NIR spectroscopy datasets are briefly discussed, with links provided. Thirdly, the widely used data preprocessing and feature selection algorithms that have been reported for NIR spectroscopy are presented. Then, the majority of the traditional machine learning methods and deep network architectures that are commonly employed are covered. Finally, we conclude that developing the integration of a variety of machine learning algorithms in an efficient and lightweight manner is a significant future research direction.

SUBMITTER: Zhang W

PROVIDER: S-EPMC9784128 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

A Review of Machine Learning for Near-Infrared Spectroscopy.

Zhang Wenwen W Kasun Liyanaarachchi Chamara LC Wang Qi Jie QJ Zheng Yuanjin Y Lin Zhiping Z

Sensors (Basel, Switzerland) 20221213 24

The analysis of infrared spectroscopy of substances is a non-invasive measurement technique that can be used in analytics. Although the main objective of this study is to provide a review of machine learning (ML) algorithms that have been reported for analyzing near-infrared (NIR) spectroscopy from traditional machine learning methods to deep network architectures, we also provide different NIR measurement modes, instruments, signal preprocessing methods, etc. Firstly, four different measurement ...[more]

PMID: 36560133

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Dataset Information

A Review of Machine Learning for Near-Infrared Spectroscopy.

Publications

A Review of Machine Learning for Near-Infrared Spectroscopy.

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