Optimizing NIR spectral preprocessing for PLS predictive accuracy: a systematic review (2019-2024)
Abstract Near-infrared (NIR) spectroscopy plays a critical role in quality assessments for pharmaceuticals and food industries. Predictive model accuracy is substantially improved through optimized methods of pre-processing complex NIR data. Researchers optimize Partial Least Squares models through...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2026-03-01
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| シリーズ: | Discover Applied Sciences |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s42452-026-08608-y |
| タグ: |
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