Quasi-Yagi antenna design for LTE applications and prediction of gain and directivity using machine learning approaches
- DOI
- 10.1016/j.aej.2023.08.059
- Published
- 10
- Container
- Alexandria Engineering Journal
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.aej.2023.08.059,
title = {Quasi-Yagi antenna design for LTE applications and prediction of gain and directivity using machine learning approaches},
author = {Md. Ashraful Haque and M.A. Zakariya and Samir Salem Al-Bawri and Zubaida Yusoff and Mirajul Islam and Dipon Saha and Wazie M. Abdulkawi and Md Afzalur Rahman and Liton Chandra Paul},
year = {2023},
journal = {Alexandria Engineering Journal},
doi = {10.1016/j.aej.2023.08.059},
url = {https://doi.org/10.1016/j.aej.2023.08.059}
}RIS
TY - JOUR TI - Quasi-Yagi antenna design for LTE applications and prediction of gain and directivity using machine learning approaches AU - Md. Ashraful Haque AU - M.A. Zakariya AU - Samir Salem Al-Bawri AU - Zubaida Yusoff AU - Mirajul Islam AU - Dipon Saha AU - Wazie M. Abdulkawi AU - Md Afzalur Rahman AU - Liton Chandra Paul PY - 2023 JO - Alexandria Engineering Journal DO - 10.1016/j.aej.2023.08.059 UR - https://doi.org/10.1016/j.aej.2023.08.059 ER -
APA
Haque, M. A., Zakariya, M., Al-Bawri, S. S., Yusoff, Z., Islam, M., Saha, D., Abdulkawi, W. M., Rahman, M. A., & Paul, L. C. (2023). Quasi-Yagi antenna design for LTE applications and prediction of gain and directivity using machine learning approaches. Alexandria Engineering Journal. https://doi.org/10.1016/j.aej.2023.08.059
Source records
- doaj · retrieved 2026-09-25T18:05:36.151Z