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Self-learning optical sensor

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Description

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.