| Title |
Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height
|
|---|---|
| Published in |
Forest Ecosystems, April 2020
|
| DOI | 10.1186/s40663-020-00226-3 |
| Authors |
İlker Ercanlı |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 24% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Doctoral Student | 5 | 10% |
| Researcher | 5 | 10% |
| Professor > Associate Professor | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 24% |
| Computer Science | 6 | 12% |
| Agricultural and Biological Sciences | 5 | 10% |
| Environmental Science | 5 | 10% |
| Medicine and Dentistry | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 16 | 31% |