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Tian-Yu Liu

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Sep 2026

A novel microscopic hyperspectral imaging detection method for quantitative powdered food adulteration assessment: A comparative study of CNN-RNN attention models.

The results demonstrate the potential of MHSI coupled with deep learning for quantitative adulteration analysis and provide a promising analytical strategy for the quality control of lotus root powder and other high-value powdered food products.

Shuang-Shuang Zhang, Yan-Min Hao, Tian-Yu Liu et al. · 0 citations

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