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Three-dimensional fluorescence spectroscopy recognition and component analysis based on machine learning
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DOI：10.1016/j.saa.2026.127633.png)
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摘要
En 中文
• 统一ML框架（SE-UNet）旨在实现基于EEM的快速污染检测。
• 基于PARAFAC的谱图可为训练提供可靠的参考目标。
• 具有共享编码器的SE-UNet可提升混合物中组分的解析度。
• SE-UNet在三元混合物和公开Fish数据集上具有良好的泛化能力。
• 自动推理减轻了实际应用中耗时PARAFAC拟合的问题。
Keyword:
SE-UNet
PARAFAC
EEM-based contamination detection
machine learning
component resolution
期刊
S
IF:
4.6
论文数:
1.5K
被引数:
15
机构
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