Machine Learning Approaches for EM Signature Analysis in Chipless RFID Technology-Reference-Cited by-同舟云学术

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Machine Learning Approaches for EM Signature Analysis in Chipless RFID Technology

Published:2024-03-17 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 18th European Conference on Antennas and Propagation (EuCAP)
language:
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Author:

Rather Nadeem¹,Simorangkir Roy B.V. B.²,Buckley John L.¹,O'Flynn Brendan¹,Tedesco Salvatore¹

Affiliation:

1. Tyndall National Institute, University College Cork, Lee Maltings Complex, Dyke Parade,Cork,Ireland,T12R5CP

2. Durham University,Department of Engineering,Durham,U.K.,DH1 3LE

Funder

Science Foundation Ireland (SFI)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10500901/10500902/10501388.pdf?arnumber=10501388

Reference27 articles.

1. Radio Frequency Identification and Sensors

2. Chipless RFID: A Unique Technology for Mankind

3. Chipless-RFID: A Review and Recent Developments

4. Short time fourier transform (STFT) for collision detection in chipless rfid systems;Karmakar

5. Chipless UWB RFID Tag Detection Using Continuous Wavelet Transform

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