Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/577491
Title: | An early diagnosis of blastocyst quality and endometrium receptivity using deep learning framework with modified whale optimisation technique |
Researcher: | Satya Kiranmai, Tadepalli |
Guide(s): | Lakshmi, P V |
Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
University: | GITAM University |
Completed Date: | 2024 |
Abstract: | File Attached newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/577491 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf.pdf | Attached File | 62.59 kB | Adobe PDF | View/Open |
02_prelim pages.pdf.pdf | 53.06 kB | Adobe PDF | View/Open | |
03_contents.pdf.pdf | 36.34 kB | Adobe PDF | View/Open | |
04_abstract.pdf.pdf | 6.51 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf.pdf | 183.45 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf.pdf | 232.04 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf.pdf | 385.74 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf.pdf | 591.37 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf.pdf | 636.21 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf.pdf | 352.94 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf.pdf | 85.1 kB | Adobe PDF | View/Open | |
12_annexures.pdf.pdf | 199.51 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 146.67 kB | Adobe PDF | View/Open |
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