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Mendeley readers
| Chapter title |
Neural Network
|
|---|---|
| Chapter number | 4 |
| Book title |
Deep Learning for Hydrometeorology and Environmental Science
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-64777-3_4 |
| Book ISBNs |
978-3-03-064776-6, 978-3-03-064777-3
|
| Authors |
Taesam Lee, Vijay P. Singh, Kyung Hwa Cho, Lee, Taesam, Singh, Vijay P., Cho, Kyung Hwa |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 154 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 16% |
| Student > Bachelor | 23 | 15% |
| Student > Master | 20 | 13% |
| Student > Postgraduate | 11 | 7% |
| Professor > Associate Professor | 8 | 5% |
| Other | 19 | 12% |
| Unknown | 49 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 28% |
| Engineering | 37 | 24% |
| Agricultural and Biological Sciences | 4 | 3% |
| Social Sciences | 3 | 2% |
| Unspecified | 3 | 2% |
| Other | 13 | 8% |
| Unknown | 51 | 33% |