Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/394483
| Title: | RCS based classification of RADAR targets using machine learning and deep learning techniques |
| Researcher: | Jagan Mohana Rao, P. |
| Guide(s): | Rajesh Kumar, P. |
| Keywords: | Deep learning Engineering Engineering and Technology Engineering Electronics and Communications Machine learning RADAR RCS classification |
| University: | Andhra University |
| Completed Date: | 2021 |
| Abstract: | None |
| Pagination: | xiv, 156p. |
| URI: | http://hdl.handle.net/10603/394483 |
| Appears in Departments: | Department of Electronics & Communication Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 207.45 kB | Adobe PDF | View/Open |
| 02_declaration.pdf | 71.54 kB | Adobe PDF | View/Open | |
| 03_certificate.pdf | 79.58 kB | Adobe PDF | View/Open | |
| 04_acknowledgements.pdf | 55.97 kB | Adobe PDF | View/Open | |
| 05_contents.pdf | 63.95 kB | Adobe PDF | View/Open | |
| 06_abstract.pdf | 51.35 kB | Adobe PDF | View/Open | |
| 07_list of figures and tables.pdf | 199.15 kB | Adobe PDF | View/Open | |
| 08_list of abbreviations.pdf | 125.5 kB | Adobe PDF | View/Open | |
| 09_chapter 1.pdf | 484.65 kB | Adobe PDF | View/Open | |
| 10_chapter 2.pdf | 131.08 kB | Adobe PDF | View/Open | |
| 11_chapter 3.pdf | 956.45 kB | Adobe PDF | View/Open | |
| 12_chapter 4.pdf | 672.47 kB | Adobe PDF | View/Open | |
| 13_chapter 5.pdf | 803.72 kB | Adobe PDF | View/Open | |
| 14_chapter 6.pdf | 542.86 kB | Adobe PDF | View/Open | |
| 15_conclusions.pdf | 78 kB | Adobe PDF | View/Open | |
| 16_references.pdf | 173.85 kB | Adobe PDF | View/Open | |
| 17_list of publications.pdf | 71.3 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 284.3 kB | Adobe PDF | View/Open |
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