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Machine learning-based technique for gain and resonance prediction of mid band 5G Yagi antenna
In this study, we present our findings from investigating the use of a machine learning (ML) technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 band for 5G applications. This research study investigates several techniques, such as simulation, measurement, and an RLC...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400634/ https://www.ncbi.nlm.nih.gov/pubmed/37537201 http://dx.doi.org/10.1038/s41598-023-39730-1 |