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/10603/554099
| Title: | Artificial Intelligence Based RealTime Adaptive Traffic Light Management System |
| Researcher: | Usha Mittal |
| Guide(s): | Priyanka Chawla |
| Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
| University: | Lovely Professional University |
| Completed Date: | 2023 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/554099 |
| Appears in Departments: | Computer Application/Computer Science and Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 227.07 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 580 kB | Adobe PDF | View/Open | |
| 03_content.pdf | 219.14 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 218.1 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 418.3 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 834.9 kB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 365.92 kB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 616.72 kB | Adobe PDF | View/Open | |
| 10_annexures.pdf | 518.79 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 231 kB | Adobe PDF | View/Open |
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