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
| Title |
On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: An automated anti-pornography system
|
|---|---|
| Published in |
Neurocomputing, May 2014
|
| DOI | 10.1016/j.neucom.2013.10.003 |
| Authors |
A.A. Zaidan, N.N. Ahmad, H. Abdul Karim, M. Larbani, B.B. Zaidan, A. Sali |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 2 | 4% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 26% |
| Student > Master | 11 | 21% |
| Researcher | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Student > Doctoral Student | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 47% |
| Engineering | 9 | 17% |
| Mathematics | 3 | 6% |
| Materials Science | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 8 | 15% |