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Mendeley readers
Chapter title |
A New Method of EEG Classification for BCI with Feature Extraction Based on Higher Order Statistics of Wavelet Components and Selection with Genetic Algorithms
|
---|---|
Chapter number | 29 |
Book title |
Adaptive and Natural Computing Algorithms
|
Published by |
Springer, Berlin, Heidelberg, April 2011
|
DOI | 10.1007/978-3-642-20282-7_29 |
Book ISBNs |
978-3-64-220281-0, 978-3-64-220282-7
|
Authors |
Marcin Kołodziej, Andrzej Majkowski, Remigiusz J. Rak |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 31% |
Student > Doctoral Student | 6 | 17% |
Student > Master | 4 | 11% |
Professor > Associate Professor | 3 | 9% |
Researcher | 3 | 9% |
Other | 3 | 9% |
Unknown | 5 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 37% |
Engineering | 8 | 23% |
Neuroscience | 3 | 9% |
Agricultural and Biological Sciences | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 2 | 6% |
Unknown | 7 | 20% |