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Mendeley readers
Chapter title |
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation
|
---|---|
Chapter number | 49 |
Book title |
Hybrid Artificial Intelligent Systems
|
Published in |
Lecture notes in computer science, April 2016
|
DOI | 10.1007/978-3-319-32034-2_49 |
Book ISBNs |
978-3-31-932033-5, 978-3-31-932034-2
|
Authors |
Jorge García-Gutiérrez, Eduardo González-Ferreiro, Daniel Mateos-García, José C. Riquelme-Santos |
Editors |
Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 15% |
Student > Doctoral Student | 3 | 15% |
Researcher | 3 | 15% |
Student > Ph. D. Student | 2 | 10% |
Lecturer | 1 | 5% |
Other | 4 | 20% |
Unknown | 4 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 30% |
Agricultural and Biological Sciences | 4 | 20% |
Business, Management and Accounting | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 30% |