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 |
Arabic Sign Language Recognition Using Spatio-Temporal Local Binary Patterns and Support Vector Machine
|
---|---|
Chapter number | 5 |
Book title |
Advanced Machine Learning Technologies and Applications
|
Published by |
Springer, Cham, November 2014
|
DOI | 10.1007/978-3-319-13461-1_5 |
Book ISBNs |
978-3-31-913460-4, 978-3-31-913461-1
|
Authors |
Saleh Aly, Safaa Mohammed, Aly, Saleh, Mohammed, Safaa |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 3% |
Unknown | 33 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 21% |
Student > Master | 4 | 12% |
Student > Bachelor | 3 | 9% |
Researcher | 3 | 9% |
Professor | 1 | 3% |
Other | 2 | 6% |
Unknown | 14 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 41% |
Engineering | 3 | 9% |
Psychology | 1 | 3% |
Linguistics | 1 | 3% |
Unknown | 15 | 44% |