Machine-Learning Methods for Material Identification Using mmWave Radar Sensor
Author:
Affiliation:
1. Telstra Corporation Ltd., Melbourne, VIC, Australia
2. STEM College, RMIT University, Melbourne, VIC, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10017147/09979718.pdf?arnumber=9979718
Reference26 articles.
1. A study of material identification using SAR
2. Detection of material dispersion using SAR;gilman;Proc 10th Eur Conf Synth Aperture Radar (EUSAR),2014
3. Chipped and chipless RFID sensors for quality monitoring of light weight concrete using the radar equation
4. Artificial Neural Networks and Machine Learning techniques applied to Ground Penetrating Radar: A review
5. Intelligent Material Classification and Identification Using a Broadband Millimeter-Wave Frequency Comb Receiver
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1. A New Pavement Recognition Method of 24-GHz Radar Based on Prior Knowledge and Data-Driven;IEEE Sensors Journal;2024-03-15
2. Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review;Sensors;2023-11-01
3. Rf-Tms-Cnnam:Non-Destructive Passive Liquid Concentration Detection Using RFID Systems;2023
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