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Mendeley readers
| Title |
Simple and Computationally Efficient Movement Classification Approach for EMG-controlled Prosthetic Hand: ANFIS vs. Artificial Neural Network
|
|---|---|
| Published in |
Intelligent Automation & Soft Computing, February 2015
|
| DOI | 10.1080/10798587.2015.1008735 |
| Authors |
Hessam Jahani Fariman, Siti A. Ahmad, M. Hamiruce Marhaban, M. Ali Jan Ghasab, Paul H. Chappell |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Student > Ph. D. Student | 8 | 22% |
| Student > Doctoral Student | 4 | 11% |
| Student > Postgraduate | 3 | 8% |
| Student > Bachelor | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 50% |
| Computer Science | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 33% |