Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/595460
Title: | an innovative approach for detection and classification of waste materials using deep learning |
Researcher: | S MENAKA |
Guide(s): | A GAYATHRI |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | Saveetha University |
Completed Date: | 2024 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/595460 |
Appears in Departments: | Department of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title .pdf | Attached File | 102.4 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 468.16 kB | Adobe PDF | View/Open | |
03_content.pdf | 375.79 kB | Adobe PDF | View/Open | |
04_abstract .pdf | 673.34 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 338.89 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 213.09 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 910.51 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 286.17 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 448.87 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 177.88 kB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 1 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 134.94 kB | Adobe PDF | View/Open |
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