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Mendeley readers
| Chapter title |
Data Fusion-Based AI Algorithms in the Context of IIoTS
|
|---|---|
| Chapter number | 2 |
| Book title |
Internet of Things for Industry 4.0
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-32530-5_2 |
| Book ISBNs |
978-3-03-032529-9, 978-3-03-032530-5
|
| Authors |
Raluca Maria Aileni, Suciu George, Sever Pasca, Valderrama Sukuyama Carlos Alberto, Aileni, Raluca Maria, George, Suciu, Pasca, Sever, Carlos Alberto, Valderrama Sukuyama |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Student > Master | 3 | 12% |
| Researcher | 3 | 12% |
| Professor | 3 | 12% |
| Lecturer | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 27% |
| Engineering | 4 | 15% |
| Business, Management and Accounting | 1 | 4% |
| Environmental Science | 1 | 4% |
| Materials Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 42% |