Sub-6 Ghz Rotman Lens for Underground Mines Using Machine Learning-Reference-Cited by-同舟云学术

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Sub-6 Ghz Rotman Lens for Underground Mines Using Machine Learning

Published:2023-07-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)
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Author:

Seddiki M. L¹,Hadji S.¹,Nedil M.¹

Affiliation:

1. School of Engineering, LRTCS, University of Quebec in Abitibi-Temiscamingue (UQAT),Val-d'Or,Québec,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10237348/10237371/10237712.pdf?arnumber=10237712

Reference7 articles.

1. DEVELOPMENT OF A HIGH GAIN FSS REFLECTOR BACKED MONOPOLE ANTENNA USING MACHINE LEARNING FOR 5G APPLICATIONS

2. Design of a rotman lens based on genetic algorithm

3. Design of Multi-Beam Antenna Based on Rotman Lens

4. A NOVEL DUAL-BAND PRINTED SIW ANTENNA DESIGN BASED ON FISHNET & CCRR DGS USING MACHINE LEARNING FOR KU-BAND APPLICATIONS

5. Compact Quad-Band CP Series-Fed Circular Slit Microstrip Array Antenna Using Machine Learning

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