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Timeline
Attention over time
Attention Score history
Activity
Mendeley demographics
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| Title |
Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach
|
|---|---|
| Published in |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2018
|
| DOI | 10.1109/embc.2018.8512470 |
| Pubmed ID | |
| Authors |
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Mendeley demographics
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Student > Master | 12 | 18% |
| Student > Bachelor | 3 | 5% |
| Researcher | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 29 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 20% |
| Computer Science | 12 | 18% |
| Medicine and Dentistry | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Decision Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 35 | 54% |