Intelligent Material Classification and Identification Using a Broadband Millimeter-Wave Frequency Comb Receiver-Reference-Cited by-同舟云学术

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Intelligent Material Classification and Identification Using a Broadband Millimeter-Wave Frequency Comb Receiver

Published:2020-07 Issue:7 Volume:4 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Jamali Babak^ORCID,Ramalingam Deeban^ORCID,Babakhani Aydin^ORCID

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://ieeexplore.ieee.org/ielam/7782634/9119070/9117152-aam.pdf

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2. Ultra-wideband Impulse Radar Classification of Materials using a Convolutional Neural Network;2023 International Conference on Advanced Technologies for Communications (ATC);2023-10-19

3. mmStress;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-09-27

4. Radar-Based Road Surface Classification System for Personal Mobility Devices;IEEE Sensors Journal;2023-07-15

5. Machine-Learning Methods for Material Identification Using mmWave Radar Sensor;IEEE Sensors Journal;2023-01-15

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