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/10603/483806
| Title: | Machine learning techniques for electronic nose systems |
| Researcher: | Vishakha Pareek |
| Guide(s): | Sanjay Singh |
| Keywords: | Engineering Engineering and Technology Engineering Biomedical |
| University: | Academy of Scientific and Innovative Research (AcSIR) |
| Completed Date: | 2022 |
| Abstract: | newline |
| Pagination: | All Pages |
| URI: | http://hdl.handle.net/10603/483806 |
| Appears in Departments: | Engineering Sciences (CSIR-CEERI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 84.24 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 1.22 MB | Adobe PDF | View/Open | |
| 03_content.pdf | 362.55 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 217.12 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 1.82 MB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 4.48 MB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 2.16 MB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 2.73 MB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 1.74 MB | Adobe PDF | View/Open | |
| 10_chapter 6.pdf | 3.37 MB | Adobe PDF | View/Open | |
| 11_chapter 7.pdf | 2.54 MB | Adobe PDF | View/Open | |
| 12_annexure.pdf | 3.8 MB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 1.04 MB | Adobe PDF | View/Open |
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