Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction
- DOI
- 10.1038/s41598-025-13514-1
- Published
- 2025-08-06
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-13514-1,
title = {Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction},
author = {Redwan A. Ananta and Md. Ashraful Haque and Geamel Alyami and Md Sharif Ahammed and Md. Kawsar Ahmed and Narinderjit Singh Sawaran Singh and Md Afzalur Rahman and Hussein Shaman and Hanaa A. Abdallah and Abdelhamied A. Ateya},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-13514-1},
url = {https://doi.org/10.1038/s41598-025-13514-1}
}RIS
TY - JOUR TI - Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction AU - Redwan A. Ananta AU - Md. Ashraful Haque AU - Geamel Alyami AU - Md Sharif Ahammed AU - Md. Kawsar Ahmed AU - Narinderjit Singh Sawaran Singh AU - Md Afzalur Rahman AU - Hussein Shaman AU - Hanaa A. Abdallah AU - Abdelhamied A. Ateya PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-13514-1 UR - https://doi.org/10.1038/s41598-025-13514-1 ER -
APA
Ananta, R. A., Haque, M. A., Alyami, G., Ahammed, M. S., Ahmed, M. K., Singh, N. S. S., Rahman, M. A., Shaman, H., Abdallah, H. A., & Ateya, A. A. (2025). Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction. Scientific Reports. https://doi.org/10.1038/s41598-025-13514-1
Source records
- crossref · retrieved 2026-09-27T08:15:51.489Z