You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
| Chapter title |
Applications of Deep Learning in Severity Prediction of Traffic Accidents
|
|---|---|
| Chapter number | 58 |
| Book title |
GCEC 2017
|
| Published by |
Springer, Singapore, July 2017
|
| DOI | 10.1007/978-981-10-8016-6_58 |
| Book ISBNs |
978-9-81-108015-9, 978-9-81-108016-6
|
| Authors |
Maher Ibrahim Sameen, Biswajeet Pradhan, H. Z. M. Shafri, Hussain Bin Hamid, Sameen, Maher Ibrahim, Pradhan, Biswajeet, Shafri, H. Z. M., Hamid, Hussain Bin |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Professor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 6 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 17% |
| Social Sciences | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 8 | 67% |