| Type of Material: | Thesis |
| Title: | Human activity recognition for untrimmed video using deep learning approach |
| Researcher: | Deotale, Disha G. |
| Guide: | Verma, Madhushi | Suresh, P. |
| Department: | School of Computer Science Engineering and Technology |
| Publisher: | Bennett University |
| Place: | Greater Noida |
| Year: | 2023 |
| Language: | English |
| Subject: | Computer Science | Computer Science Artificial Intelligence | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; School of Computer Science Engineering and Technology, Bennett University, Greater Noida; 2023 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-10-14 12:07:53 | |
| 008 | __ | 261014t2023||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_464153 |
| 040 | __ | |aBENN_201310|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aDeotale, Disha G.|eResearcher |
| 110 | __ | |aSchool of Computer Science Engineering and Technology|0U-0890|ein|dGreater Noida|bBennett University |
| 245 | __ | |aHuman activity recognition for untrimmed video using deep learning approach |
| 260 | __ | |aGreater Noida|bBennett University|c2023 |
| 300 | __ | |dDVD |
| 502 | __ | |cSchool of Computer Science Engineering and Technology, Bennett University, Greater Noida|d2023|bPhD |
| 518 | __ | |oDate of Award|d2023 |
| 518 | __ | |oDate of Registration|d2018 |
| 518 | __ | |oDate of Completion|d2023 |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Artificial Intelligence |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aVerma, Madhushi|eGuide |
| 700 | __ | |aSuresh, P.|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/519512|yShodhganga |
| 905 | __ | |afromsg |
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