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Neural network improves tunable diode laser absorption spectroscopy quantification accuracy

A research group from the Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Sciences recently developed a neural network-based absorbance recovery method to improve the accuracy of single path tunable diode laser absorption spectroscopy (TDLAS) measurement.

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