Predicting driver emotion to reduce accidents using CNN-LSTM and DCGAN (Record no. 57362)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 00882nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.8 |
| Author Mark | SHA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Shaiza Hassan (51885) |
| 245 ## - TITLE STATEMENT | |
| Title | Predicting driver emotion to reduce accidents using CNN-LSTM and DCGAN |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Islamabad |
| Name of publisher | (unpublished) |
| Date of publication | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 53 p. |
| Illustrations | : ill.,Col. |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in the fulfillment of the requirements for the degree of Master of Science in Data Science to the Faculty of Computing. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Adeel Zafar<br/>Co- Supervisor: Dr. Atta Ur Rahman<br/> |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references. |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University, 2024 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Data sciences |
| Keywords | Driver assistance systems |
| -- | Road safety |
| -- | Human error |
| -- | Preventive measures |
| -- | Economic benifits |
| -- | RISE |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Source of acquisition | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|
| NOT for LOAN | City Campus | City Campus | Riphah International University | 005.8 SHA | 53767 | 1 | Thesis |