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Mendeley readers
| Title |
Deep Learning Approach for Building Detection Using LiDAR–Orthophoto Fusion
|
|---|---|
| Published in |
Journal of Sensors, August 2018
|
| DOI | 10.1155/2018/7212307 |
| Authors |
Faten Hamed Nahhas, Helmi Z. M. Shafri, Maher Ibrahim Sameen, Biswajeet Pradhan, Shattri Mansor |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 20% |
| Student > Master | 24 | 20% |
| Student > Bachelor | 7 | 6% |
| Researcher | 6 | 5% |
| Other | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 36 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 33 | 28% |
| Computer Science | 19 | 16% |
| Earth and Planetary Sciences | 16 | 14% |
| Environmental Science | 3 | 3% |
| Social Sciences | 2 | 2% |
| Other | 7 | 6% |
| Unknown | 38 | 32% |