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

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01_title.pdf.pdfAttached File62.59 kBAdobe PDFView/Open
02_prelim pages.pdf.pdf53.06 kBAdobe PDFView/Open
03_contents.pdf.pdf36.34 kBAdobe PDFView/Open
04_abstract.pdf.pdf6.51 kBAdobe PDFView/Open
05_chapter 1.pdf.pdf183.45 kBAdobe PDFView/Open
06_chapter 2.pdf.pdf232.04 kBAdobe PDFView/Open
07_chapter 3.pdf.pdf385.74 kBAdobe PDFView/Open
08_chapter 4.pdf.pdf591.37 kBAdobe PDFView/Open
09_chapter 5.pdf.pdf636.21 kBAdobe PDFView/Open
10_chapter 6.pdf.pdf352.94 kBAdobe PDFView/Open
11_chapter 7.pdf.pdf85.1 kBAdobe PDFView/Open
12_annexures.pdf.pdf199.51 kBAdobe PDFView/Open
80_recommendation.pdf146.67 kBAdobe PDFView/Open
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