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Updated: Jan 14, 2026

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
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Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Published on: March 22, 2019

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SE-PDS增强的NIR频谱转移学习:用于跨仪器喷气式燃料性质量化的机器学习方法

Mingyue Huang1, Hailong Feng1, Jing Liang1

  • 1College of Artificial Intelligence, Nankai University, Tianjin, 300350, China.

Talanta
|October 22, 2025
PubMed
概括

这项研究介绍了一种改进的共享嵌入增强分片直接标准化 (SE-PDS) 算法,用于近红外 (NIR) 光谱传输. SE-PDS与随机森林 (RF) 模型相结合,可以准确地预测各种仪器的喷气燃料特性.

关键词:
喷气式飞机燃料 喷气式飞机燃料机器学习是机器学习.接近红外光谱的近红外光谱.神经网络的神经网络回归预测回归的预测.

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