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Machine learning-assisted real-time RSSI-based microwave auto sensor for dielectric characterization of ethanol–water mixtures
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DOI：10.1016/j.measurement.2026.120299.png)
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Abstract
En 中文
• A real-time microwave sensor characterizes ethanol–water mixtures. • Machine learning predicts liquid concentration and dielectric properties. • Signal strength data enables automated dielectric property estimation. • Web and mobile access support remote data capture and monitoring. • A portable low-cost system offers an alternative for industrial liquid analysis.
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5.6
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1.9W
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5.4W
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