A Deep Learning Approach to Urban Traffic Anomaly Prediction Using Spatiotemporal Data (Record no. 17003)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00437nam a22001217a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.32 |
| Item number | S129D |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Sagar, Chitransh |
| 245 ## - TITLE STATEMENT | |
| Title | A Deep Learning Approach to Urban Traffic Anomaly Prediction Using Spatiotemporal Data |
| Statement of responsibility, etc | by Chitransh Sagar |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Department of Computer Science and Engineering |
| Name of publisher | Indian Institute of Technology Jodhpur |
| Year of publication | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | vi, 7p. |
| Other physical details | PB |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Das, Debasis |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Theses | S. R. Ranganathan Learning Hub | S. R. Ranganathan Learning Hub | General Section | 2025-01-07 | 006.32 S129D | TM00488 | 2025-01-07 | Thesis |