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Published in Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2024
In this research, we introduce an innovative method for analyzing Ultraviolet - Near Infrared spectra, leveraging large language model without any additional training. Our approach demonstrates superior performance compared to conventional machine learning techniques when evaluated on waste water sample.
Recommended citation: Liang, J., Yu, X., Hong, W., & Cai, Y. (2024). Information extraction of UV-NIR spectral data in waste water based on Large Language Model. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 124475.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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