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.
Mendeley readers
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 3 | 18% |
Student > Doctoral Student | 2 | 12% |
Lecturer | 1 | 6% |
Student > Bachelor | 1 | 6% |
Professor | 1 | 6% |
Other | 3 | 18% |
Unknown | 6 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 3 | 18% |
Computer Science | 3 | 18% |
Social Sciences | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 9 | 53% |