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| Chapter title |
Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects
|
|---|---|
| Chapter number | 46 |
| Book title |
Hybrid Artificial Intelligent Systems
|
| Published by |
Springer, Cham, June 2017
|
| DOI | 10.1007/978-3-319-59650-1_46 |
| Book ISBNs |
978-3-31-959649-5, 978-3-31-959650-1
|
| Authors |
Alessio Mereta, Dario Izzo, Alexander Wittig |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 31% |
| Student > Ph. D. Student | 7 | 24% |
| Student > Bachelor | 3 | 10% |
| Researcher | 3 | 10% |
| Professor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 76% |
| Physics and Astronomy | 2 | 7% |
| Computer Science | 1 | 3% |
| Unknown | 4 | 14% |