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 |
Features Extraction and Classification of EEG Signals Using Empirical Mode Decomposition and Support Vector Machine
|
---|---|
Chapter number | 19 |
Book title |
Advanced Machine Learning Technologies and Applications
|
Published by |
Springer, Cham, November 2014
|
DOI | 10.1007/978-3-319-13461-1_19 |
Book ISBNs |
978-3-31-913460-4, 978-3-31-913461-1
|
Authors |
Noran M. El-Kafrawy, Doaa Hegazy, Mohamed Fahmy Tolba, El-Kafrawy, Noran M., Hegazy, Doaa, Tolba, Mohamed Fahmy |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 31% |
Student > Bachelor | 3 | 12% |
Other | 1 | 4% |
Lecturer | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 5 | 19% |
Unknown | 7 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 9 | 35% |
Computer Science | 5 | 19% |
Psychology | 1 | 4% |
Unspecified | 1 | 4% |
Neuroscience | 1 | 4% |
Other | 1 | 4% |
Unknown | 8 | 31% |