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X Demographics
Mendeley readers
| Title |
Moving Learning Machine towards Fast Real-Time Applications: A High-Speed FPGA-Based Implementation of the OS-ELM Training Algorithm
|
|---|---|
| Published in |
Electronics, November 2018
|
| DOI | 10.3390/electronics7110308 |
| Authors |
Jose V. Frances-Villora, Alfredo Rosado-Muñoz, Manuel Bataller-Mompean, Juan Barrios-Aviles, Juan F. Guerrero-Martinez |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 25% |
| Student > Ph. D. Student | 2 | 17% |
| Professor | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 33% |
| Computer Science | 2 | 17% |
| Nursing and Health Professions | 1 | 8% |
| Neuroscience | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |