Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/589752
Title: time frequency domain machine and deep learning approches for automated detection of sleep stages using EEG Recordings
Researcher: JADHAV PANKAJ SHANKARRAO
Guide(s): siddhartha mukhoudhyay
Keywords: Deep learning
Engineering
Engineering and Technology
Engineering Civil
Machine learning
Random forest
Sleep stages
Transfer learning
University: Homi Bhabha National Institute
Completed Date: 2024
Abstract: newline
Pagination: 
URI: http://hdl.handle.net/10603/589752
Appears in Departments:Department of Engineering Sciences

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01_title.pdfAttached File135.82 kBAdobe PDFView/Open
02_prelim_pages.pdf88.23 kBAdobe PDFView/Open
03_content.pdf85.71 kBAdobe PDFView/Open
04_abstract.pdf120.93 kBAdobe PDFView/Open
05_chapter_1.pdf145.85 kBAdobe PDFView/Open
06_chapter_2.pdf1.07 MBAdobe PDFView/Open
07_chapter_3.pdf373.43 kBAdobe PDFView/Open
08_chapter_4.pdf552.42 kBAdobe PDFView/Open
09_chapter_5.pdf1.52 MBAdobe PDFView/Open
10_annexures.pdf216.9 kBAdobe PDFView/Open
11_chapter_6.pdf1.24 MBAdobe PDFView/Open
12_chapter_7.pdf120.93 kBAdobe PDFView/Open
18_certificate.pdf83.01 kBAdobe PDFView/Open
19_list_of_graph_and_table.pdf5.09 MBAdobe PDFView/Open
21_highlights.pdf57.9 kBAdobe PDFView/Open
80_recommendation.pdf135.82 kBAdobe PDFView/Open
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