Self-learning optical sensor
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The goal is to build a compact and low-cost optical sensor that can learn to classify different vegetable oils based on fluorescence spectroscopy using machine learning. The innovative approach is to use a neural network which learns by examples to classify substances without using analytical substance-specific mathematical models.
10(5), S. 1010.
Verfügbar unter: https://doi.org/10.3390/foods10051010