Machine learning-based technique for resonance and directivity prediction of UMTS LTE band quasi Yagi antenna-Reference-Cited by-同舟云学术

Machine learning-based technique for resonance and directivity prediction of UMTS LTE band quasi Yagi antenna

Published:2023-09 Issue:9 Volume:9 Page:e19548
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Haque Md. Ashraful^ORCID,Saha Dipon,Al-Bawri Samir Salem^ORCID,Paul Liton Chandra^ORCID,Rahman Md Afzalur,Alshanketi Faisal,Alhazmi Ali^ORCID,Rambe Ali Hanafiah,Zakariya M.A.^ORCID,Ba Hashwan Saeed S.^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference44 articles.

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4. Planar endfire circularly polarized quasi-Yagi antenna with enhanced bandwidth and reduced size for wideband wireless applications;Li;Prog. Electromagn. Res. M,2019

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