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Mendeley readers
| Chapter title |
Deep Learning for Wireless Communications
|
|---|---|
| Chapter number | 9 |
| Book title |
Development and Analysis of Deep Learning Architectures
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-31764-5_9 |
| Book ISBNs |
978-3-03-031763-8, 978-3-03-031764-5
|
| Authors |
Tugba Erpek, Timothy J. O’Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 20% |
| Student > Master | 13 | 13% |
| Researcher | 11 | 11% |
| Student > Bachelor | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Other | 13 | 13% |
| Unknown | 29 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 44 | 44% |
| Computer Science | 20 | 20% |
| Agricultural and Biological Sciences | 3 | 3% |
| Economics, Econometrics and Finance | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 28 | 28% |