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Mendeley readers
| Chapter title |
Deep Learning for Time Series
|
|---|---|
| Chapter number | 9 |
| Book title |
Deep Learning for Hydrometeorology and Environmental Science
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-64777-3_9 |
| 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 182 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 33 | 18% |
| Student > Ph. D. Student | 24 | 13% |
| Researcher | 17 | 9% |
| Student > Doctoral Student | 17 | 9% |
| Student > Bachelor | 17 | 9% |
| Other | 24 | 13% |
| Unknown | 50 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 48 | 26% |
| Computer Science | 38 | 21% |
| Mathematics | 8 | 4% |
| Energy | 6 | 3% |
| Earth and Planetary Sciences | 4 | 2% |
| Other | 18 | 10% |
| Unknown | 60 | 33% |