Design and analysis of microstrip antenna using machine learning for 5G applications
| dc.contributor.author | Ara, Shabnam | |
| dc.date.accessioned | 2026-09-23T12:34:59Z | |
| dc.date.issued | 2025-05 | |
| dc.description | Thesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Electronics Engineering) | |
| dc.identifier.citation | Under the guidance of Dr. Prasanthi Kumari Nunna, Sr. Associate Professor, UPES | |
| dc.identifier.uri | https://dr.ddn.upes.ac.in/handle/123456789/4582 | |
| dc.language.iso | en | |
| dc.publisher | School of Advanced Engineering, UPES, Dehradun | |
| dc.subject | Thesis | |
| dc.subject | Electronics Engineering | |
| dc.subject | Microstrip Antenna Validation | |
| dc.subject | Machine Learning Techniques | |
| dc.subject | Frequency Selective Surface | |
| dc.subject | Artificial Neural Network | |
| dc.title | Design and analysis of microstrip antenna using machine learning for 5G applications | |
| dc.type | Thesis |