Identification of Volatile Organic Liquids by Combining an Array of Fiber-Optic Sensors and Machine Learning
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DOI: 10.1021/acsomega.2c05451
Abstract: In this paper, we report an array of fiber-optic sensors based on the Fabry–Perot interference principle and machine learning-based analyses for identifying volatile organic liquids (VOLs). Three optical fiber tip sensors with different surfaces were… read more here.
Keywords: machine; organic liquids; machine learning; array fiber ... See more keywords