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Mendeley readers
Chapter title |
Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks
|
---|---|
Chapter number | 48 |
Book title |
Hybrid Artificial Intelligent Systems
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-29859-3_48 |
Book ISBNs |
978-3-03-029858-6, 978-3-03-029859-3
|
Authors |
Jose Antonio Moscoso-Lopez, Juan Jesus Ruiz-Aguilar, Javier Gonzalez-Enrique, Daniel Urda, Hector Mesa, Ignacio J. Turias, Moscoso-Lopez, Jose Antonio, Ruiz-Aguilar, Juan Jesus, Gonzalez-Enrique, Javier, Urda, Daniel, Mesa, Hector, Turias, Ignacio J. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 24% |
Student > Master | 4 | 19% |
Researcher | 2 | 10% |
Professor > Associate Professor | 2 | 10% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 3 | 14% |
Unknown | 4 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 29% |
Engineering | 3 | 14% |
Business, Management and Accounting | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Other | 4 | 19% |
Unknown | 5 | 24% |