Deep Learning-based Recognizing Liquids Using a Multi-resonance Microwave Sensor
Author:
Affiliation:
1. Soochow University,School of Electronic and Information Engineering,China
2. Tongji University,Department of Electronic Science and Technology,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10616250/10617814/10618615.pdf?arnumber=10618615
Reference9 articles.
1. Detection of Hazardous Liquids Using Microwaves
2. HearLiquid: Nonintrusive Liquid Fraud Detection Using Commodity Acoustic Devices
3. Highly-Sensitive Microwave Sensors Based on Open Complementary Split Ring Resonators (OCSRRs) for Dielectric Characterization and Solute Concentration Measurement in Liquids
4. High-Sensitivity Metamaterial-Inspired Sensor for Microfluidic Dielectric Characterization
5. Contrasting Convolutional Neural Network (CNN) with Multi-Layer Perceptron (MLP) for Big Data Analysis
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